[Coursera] Machine Learning on Google Cloud Specialization - 5 course series

Creation Time	Sept. 14, 2024, 8:02 a.m.
Last Access Time	Nov. 5, 2025, 1:49 a.m.
File Size	1.4 GB
Keywords	on Google Specialization - Coursera Machine course 5 Learning series Cloud
Total Requests	701
Total Files	754
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_04_lab-demo-improve-the-quality-of-your-data.mp4 80.8 MB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_04_lab-demo-intro-to-linear-regression.mp4 41.2 MB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_05_logistic-regression.mp4 32.9 MB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_04_lab-demo-using-bigquery-ml-to-predict-penguin-weight-bigquery-ml-explainable-ai.mp4 28.2 MB
art-science-ml/05_vertex-vizier-hyperparameter-tuning/02_hyperparameter-tuning/02_01_vertex-ai-vizier-hyperparameter-tuning.mp4 23.3 MB
launching-machine-learning/08_summary/01_course-summary/01_04_resource-all-slides_Resource All slides.pdf 22.0 MB
google-machine-learning/08_summary/01_course-summary/01_04_resource-all-slides_HGML_CourseSlides.pdf 21.7 MB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_06_lab-demo-training-an-automl-video-classification-model.mp4 21.6 MB
art-science-ml/09_course-summary/01_course-summary/01_04_resource-all-slides_T-MLGCP5-A _ MLE_CourseSlides.pdf 21.5 MB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_01_improve-data-quality.mp4 18.4 MB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_04_embeddings.mp4 17.8 MB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_04_lab-demo-using-an-image-dataset-to-train-an-automl-model.mp4 17.8 MB
feature-engineering/03_module-2-raw-data-to-features/02_overview/02_01_overview-of-feature-engineering.mp4 16.4 MB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/03_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers/03_01_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers.mp4 16.1 MB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_03_how-to-find-errors-in-your-dataset-using-facets.mp4 15.6 MB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_02_linear-regression.mp4 14.6 MB
launching-machine-learning/07_generalization-and-sampling/03_sampling/03_02_demo-splitting-datasets-in-bigquery.mp4 14.6 MB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/05_creating-a-feature-store/05_01_creating-a-feature-store.mp4 14.4 MB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_04_evaluate-automl-models.mp4 14.3 MB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_07_build-a-data-strategy-around-ml.mp4 14.0 MB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_02_equality-of-opportunity.mp4 13.6 MB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_03_automl-regression-model.mp4 13.5 MB
google-machine-learning/04_machine-learning-development-with-vertex-ai/02_moving-from-experimentation-to-production/02_01_moving-from-experimentation-to-production.mp4 13.3 MB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_04_training-neural-networks-with-tensorflow-2-and-the-keras-functional-api.mp4 13.1 MB
feature-engineering/03_module-2-raw-data-to-features/04_representing-features/04_01_representing-features.mp4 12.8 MB
google-machine-learning/09_Resources/05_module-5-slides/05_01__Module 5-Python notebooks in the cloud.pdf 12.2 MB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_01_tensorflow-transform.mp4 12.0 MB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_04_training-requirements-and-dependencies-part-1.mp4 11.8 MB
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_02_model-management-using-vertex-ai.mp4 11.4 MB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_01_what-is-ml.mp4 11.1 MB
launching-machine-learning/06_optimization/03_gradient-descent/03_01_gradient-descent.mp4 11.1 MB
google-machine-learning/09_Resources/02_module-2-slides/02_01__Module 2-What it means to be AI-first.pdf 11.0 MB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_01_evaluating-metrics-with-inclusion-for-your-ml-system.mp4 10.9 MB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_06_a-closer-look-at-the-path-to-ml.mp4 10.8 MB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_02_coursera-getting-started-with-google-cloud-platform-and-qwiklabs.mp4 10.6 MB
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_03_components-of-tensorflow-tensors-and-variables.mp4 10.5 MB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_03_the-secret-sauce.mp4 10.4 MB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_04_coursera-getting-started-with-google-cloud-and-qwiklabs.mp4 10.4 MB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_02_getting-started-with-google-cloud-platform-and-qwiklabs.mp4 10.4 MB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_05_coursera-getting-started-with-google-cloud-and-qwiklabs.mp4 10.4 MB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_02_getting-started-with-google-cloud-and-qwiklabs.mp4 10.4 MB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_01_predict-housing-prices.mp4 10.4 MB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/03_feature-store-terminology-and-concepts/03_01_feature-store-terminology-and-concepts.mp4 10.4 MB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/02_activation-functions/02_01_activation-functions.mp4 10.3 MB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_01_training-neural-networks-with-tensorflow-2-and-the-keras-sequential-api.mp4 10.1 MB
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_01_predictions-using-vertex-ai.mp4 9.9 MB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_02_make-training-faster.mp4 9.9 MB
google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/02_best-practices-for-implementing-machine-learning-on-vertex-ai/02_01_best-practices-for-machine-learning-development.mp4 9.9 MB
art-science-ml/03_data-in-the-enterprise/02_tools-for-data-management-and-governance/02_01_feature-store.mp4 9.8 MB
intro-tensorflow/05_training-at-scale-with-vertex-ai/02_scaling-tensorflow-with-vertex-ai/02_01_training-at-scale-with-vertex-ai.mp4 9.5 MB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_01_the-art-and-science-of-machine-learning.mp4 9.4 MB
launching-machine-learning/06_optimization/04_tensorflow-playground/04_03_lecture-lab-practicing-with-neural-networks.mp4 9.3 MB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_03_temporal-and-geolocation-features.mp4 9.3 MB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_01_machine-learning-vs-deep-learning.mp4 9.2 MB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_01_basic-feature-engineering.mp4 9.1 MB
launching-machine-learning/06_optimization/02_defining-ml-models/02_03_introduction-to-loss-functions.mp4 9.1 MB
feature-engineering/08_module-7-summary/01_summary/01_04_resource-all-slides_T-MLGCP4-A _FE_CourseSlides.pdf 9.0 MB
feature-engineering/09_Resources/04_resource-all-slides/04_01__T-MLGCP4-A _FE_CourseSlides.pdf 9.0 MB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_02_dataprep.mp4 8.9 MB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/06_serving-features-batch-and-online/06_01_serving-features-batch-and-online.mp4 8.8 MB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_02_features-should-be-known-at-prediction-time.mp4 8.5 MB
launching-machine-learning/06_optimization/02_defining-ml-models/02_02_introducing-the-course-dataset.mp4 8.5 MB
launching-machine-learning/07_generalization-and-sampling/03_sampling/03_01_creating-repeatable-samples-in-bigquery.mp4 8.3 MB
launching-machine-learning/06_optimization/05_performance-metrics/05_02_confusion-matrix.mp4 8.3 MB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_04_features-should-have-enough-examples.mp4 8.3 MB
launching-machine-learning/06_optimization/03_gradient-descent/03_03_ml-model-pitfalls.mp4 8.0 MB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_02_what-problems-can-it-solve.mp4 8.0 MB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_04_advanced-feature-engineering-feature-crosses.mp4 7.8 MB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_01_training-an-ml-model-using-bigquery-ml.mp4 7.8 MB
google-machine-learning/07_responsible-ai-development/02_machine-learning-and-human-bias/02_03_biases-in-data.mp4 7.7 MB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_01_components-of-vertex-ai.mp4 7.7 MB
intro-tensorflow/06_summary/01_course-summary/01_04_resource-all-slides_Resource All slides.pdf 7.7 MB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_03_getting-the-data-ready-for-model-training.mp4 7.7 MB
feature-engineering/05_module-4-preprocessing-and-feature-creation/02_apache-beam-and-dataflow/02_02_dataflow-terms-and-concepts.mp4 7.6 MB
launching-machine-learning/06_optimization/04_tensorflow-playground/04_01_lecture-lab-introducing-the-tensorflow-playground.mp4 7.5 MB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_06_model-subclassing.mp4 7.5 MB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_06_how-to-build-and-deploy-a-recommendation-system-with-bigquery-ml.mp4 7.4 MB
launching-machine-learning/07_generalization-and-sampling/02_generalization/02_01_generalization-and-ml-models.mp4 7.4 MB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/02_feature-store-benefits/02_01_feature-store-benefits.mp4 7.3 MB
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_01_introduction-to-tensorflow.mp4 7.3 MB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_03_when-to-use-custom-training.mp4 7.2 MB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/04_regularization/04_02_how-can-we-measure-model-complexity-l1-vs-l2-regularization.mp4 7.2 MB
art-science-ml/02_understanding-the-ml-enterprise-workflow/01_understanding-the-ml-enterprise-workflow-module-introduction-and-overview/01_02_overview-of-an-ml-enterprise-workflow.mp4 7.1 MB
google-machine-learning/05_machine-learning-development-with-vertex-notebooks/02_ml-development-with-vertex-notebooks/02_01_machine-learning-development-with-vertex-notebooks.mp4 7.0 MB
google-machine-learning/07_responsible-ai-development/02_machine-learning-and-human-bias/02_02_human-biases-lead-to-biases-in-ml-models.mp4 7.0 MB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_05_what-is-exploratory-data-analysis.mp4 6.8 MB
google-machine-learning/09_Resources/04_module-4-slides/04_01__Module 4-Inclusive ML.pdf 6.4 MB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_03_features-should-be-numeric.mp4 6.4 MB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/04_regularization/04_01_regularization-basics.mp4 6.2 MB
art-science-ml/03_data-in-the-enterprise/03_pre-ga-tools/03_01_dataplex.mp4 6.0 MB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_01_good-features-versus-bad-features.mp4 6.0 MB
launching-machine-learning/07_generalization-and-sampling/02_generalization/02_02_when-to-stop-model-training.mp4 6.0 MB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_06_how-is-eda-used-in-machine-learning.mp4 5.8 MB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_05_activity-solutions-framing-a-machine-learning-problem.mp4 5.7 MB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_05_bucketize-and-transform-functions.mp4 5.7 MB
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_02_tensorflow-api-hierarchy.mp4 5.5 MB
feature-engineering/05_module-4-preprocessing-and-feature-creation/02_apache-beam-and-dataflow/02_01_apache-beam-and-dataflow.mp4 5.5 MB
art-science-ml/03_data-in-the-enterprise/03_pre-ga-tools/03_02_analytics-hub.mp4 5.5 MB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_03_transform-phase.mp4 5.5 MB
art-science-ml/07_vertex-ai-pipelines/02_prediction-using-vertex-ai-pipelines/02_01_prediction-using-vertex-ai-pipelines.mp4 5.4 MB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_03_vertex-ai-pipeline-best-practices.mp4 5.3 MB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_02_estimate-taxi-fare.mp4 5.2 MB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_01_supervised-learning.mp4 5.2 MB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_02_working-in-memory-and-with-files.mp4 5.2 MB
google-machine-learning/09_Resources/06_module-6-slides/06_01__Module 6-Summary.pdf 5.1 MB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_07_data-analysis-and-visualization.mp4 5.1 MB
launching-machine-learning/06_optimization/02_defining-ml-models/02_01_defining-ml-models.mp4 5.0 MB
google-machine-learning/09_Resources/03_module-3-slides/03_01__Module 3-How Google Does ML.pdf 5.0 MB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_06_infuse-your-apps-with-ml.mp4 4.9 MB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_01_training-on-large-datasets-with-tf-data-api.mp4 4.7 MB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_05_the-path-to-ml.mp4 4.6 MB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_05_training-requirements-and-dependencies-part-2.mp4 4.6 MB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_02_analyze-phase.mp4 4.6 MB
launching-machine-learning/06_optimization/04_tensorflow-playground/04_02_lecture-lab-tensorflow-playground-advanced.mp4 4.6 MB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_09_resources-the-science-of-machine-learning_PDF_Ref_Additional_Notes_Science of Machine Learning.pdf 4.5 MB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_01_data-preprocessing-options.mp4 4.5 MB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_05_bigquery-ml-hyperparameter-tuning.mp4 4.4 MB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_02_ml-surprise.mp4 4.4 MB
launching-machine-learning/06_optimization/05_performance-metrics/05_01_performance-metrics.mp4 4.3 MB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_02_serving-models-in-the-cloud.mp4 4.3 MB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_04_supporting-serving.mp4 4.1 MB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/01_design-and-build-input-data-pipeline-module-introduction/01_02_an-ml-recap.mp4 4.1 MB
google-machine-learning/01_introduction-to-course-and-series onehack.us/01_series-preview-and-course-introduction/01_01_course-series-preview.mp4 4.1 MB
art-science-ml/07_vertex-ai-pipelines/02_prediction-using-vertex-ai-pipelines/02_03_lab-introduction-and-walkthrough-vertex-ai-pipeline_Walkthrough_Introduction_to_Vertex_AI_Pipelines (1).pdf 3.9 MB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_02_best-practices-for-model-monitoring.mp4 3.9 MB
feature-engineering/04_module-3-feature-engineering/01_feature-engineering-module-introduction/01_02_machine-learning-versus-statistics.mp4 3.9 MB
art-science-ml/03_data-in-the-enterprise/02_tools-for-data-management-and-governance/02_02_data-catalog.mp4 3.7 MB
art-science-ml/10_series-summary onehack.us/01_course-series-summary/01_01_series-summary.mp4 3.6 MB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_06_training-custom-ml-models-using-vertex-ai.mp4 3.5 MB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_01_best-practices-for-model-deployment-and-serving.mp4 3.3 MB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_07_tools-to-interact-with-vertex-ai.mp4 3.3 MB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_02_bigquery-machine-learning-supported-models.mp4 3.2 MB
google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/02_best-practices-for-implementing-machine-learning-on-vertex-ai/02_03_best-practices-for-machine-learning-environment-setup.mp4 3.1 MB
launching-machine-learning/06_optimization/03_gradient-descent/03_02_troubleshooting-loss-curves.mp4 3.0 MB
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_01_what-is-a-feature-cross.mp4 2.9 MB
google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/02_best-practices-for-implementing-machine-learning-on-vertex-ai/02_02_data-preprocessing-best-practices.mp4 2.9 MB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_04_best-practices-for-artifact-organization.mp4 2.7 MB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_07_end-of-phases-deep-dive.mp4 2.6 MB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_04_ml-and-business-processes.mp4 2.6 MB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_03_activity-intro-framing-a-machine-learning-problem.mp4 2.5 MB
google-machine-learning/09_Resources/01_module-1-slides/01_01__Module 1-Intro to Specialization.pdf 2.4 MB
feature-engineering/03_module-2-raw-data-to-features/02_overview/02_02_raw-data-to-features.mp4 2.4 MB
art-science-ml/10_series-summary onehack.us/01_course-series-summary/01_02_resource-best-practices-summary_[PDF] Best Practices for ML Development on Vertex AI.pdf 2.3 MB
art-science-ml/01_introduction onehack.us/01_introduction/01_01_course-introduction.mp4 2.1 MB
launching-machine-learning/07_generalization-and-sampling/01_generalization-and-sampling-module-introduction/01_01_introduction.mp4 2.1 MB
google-machine-learning/01_introduction-to-course-and-series onehack.us/01_series-preview-and-course-introduction/01_02_course-introduction.mp4 2.1 MB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/04_the-feature-store-data-model/04_01_the-feature-store-data-model.mp4 2.0 MB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_02_what-is-automated-machine-learning.mp4 1.9 MB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_03_lab-intro-improve-the-quality-of-your-data.mp4 1.7 MB
google-machine-learning/04_machine-learning-development-with-vertex-ai/01_ml-development-with-vertex-ai-module-introduction/01_01_introduction.mp4 1.6 MB
google-machine-learning/08_summary/01_course-summary/01_01_summary_How Google Does Machine Learning _ Course Summary.pdf 1.4 MB
google-machine-learning/07_responsible-ai-development/02_machine-learning-and-human-bias/02_01_overview.mp4 1.2 MB
intro-tensorflow/01_introduction-to-the-course/01_course-introduction/01_01_introduction.mp4 1.2 MB
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_02_discretization.mp4 1.1 MB
feature-engineering/01_module-0-introduction/01_introduction-to-course/01_01_course-introduction.mp4 1.0 MB
art-science-ml/07_vertex-ai-pipelines/02_prediction-using-vertex-ai-pipelines/02_02_lab-intro-vertex-ai-pipelines.mp4 1.0 MB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_08_lab-intro-explore-the-data-using-python-and-bigquery.mp4 1021.6 KB
launching-machine-learning/08_summary/01_course-summary/01_01_summary_Launching into Machine Learning _ Course Summary.pdf 958.2 KB
intro-tensorflow/05_training-at-scale-with-vertex-ai/02_scaling-tensorflow-with-vertex-ai/02_02_lab-intro-training-at-scale-with-the-vertex-ai-training-service.mp4 933.5 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/01_get-to-know-your-data-module-introduction/01_01_introduction.mp4 923.7 KB
art-science-ml/09_course-summary/01_course-summary/01_01_summary_Machine Learning in the Enterprise _ Course Summary.pdf 915.1 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_01_introduction.mp4 869.7 KB
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/01_prediction-and-model-monitoring-using-vertex-ai-module-introduction/01_01_introduction.mp4 851.0 KB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/01_introduction-to-vertex-ai-feature-store-module-introduction/01_01_introduction.mp4 849.5 KB
launching-machine-learning/01_introduction/01_introduction-to-the-course/01_01_course-introduction.mp4 848.5 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/01_building-neural-networks-with-the-tensorflow-and-keras-api-module-introduction/01_01_introduction.mp4 792.0 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_03_lab-intro-introducing-the-keras-sequential-api-on-vertex-ai-platform.mp4 786.2 KB
launching-machine-learning/03_machine-learning-in-practice/01_machine-learning-in-practice-module-introduction/01_01_introduction.mp4 785.9 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/03_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers/03_02_lab-intro-classifying-structured-data-using-keras-preprocessing-layers.mp4 749.1 KB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_03_lab-intro-performing-basic-feature-engineering-in-bigquery-ml.mp4 730.5 KB
google-machine-learning/02_what-it-means-to-be-ai-first/01_what-it-means-to-be-ai-first-module-introduction/01_01_introduction.mp4 730.5 KB
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_04_lab-intro-tensorflow-playground-too-much-of-a-good-thing.mp4 722.5 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_05_lab-intro-build-a-dnn-using-the-keras-functional-api-on-vertex-ai-platform.mp4 691.1 KB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_04_lab-intro-basic-feature-engineering-in-keras.mp4 680.0 KB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_05_lab-intro-advanced-feature-engineering-in-keras.mp4 661.3 KB
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_03_lab-intro-tensorflow-playground-use-feature-crosses-to-create-a-good-classifier.mp4 648.9 KB
launching-machine-learning/06_optimization/01_optimization-module-introduction/01_01_introduction.mp4 642.6 KB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_03_lab-intro-using-bigquery-ml-to-predict-penguin-weight-bigquery-ml-explainable-ai.mp4 631.3 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/01_design-and-build-input-data-pipeline-module-introduction/01_01_introduction.mp4 623.6 KB
launching-machine-learning/04_training-automl-models-using-vertex-ai/01_training-automl-models-using-vertex-ai-module-introduction/01_01_introduction.mp4 604.7 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_06_lab-intro-tensorflow-dataset-api.mp4 596.5 KB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/01_bigquery-machine-learning-module-introduction/01_01_introduction.mp4 594.6 KB
feature-engineering/05_module-4-preprocessing-and-feature-creation/01_preprocessing-and-feature-creation-module-introduction/01_01_introduction.mp4 585.8 KB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_03_lab-intro-introduction-to-linear-regression.mp4 573.6 KB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_05_bringing-human-insight.mp4 553.4 KB
google-machine-learning/07_responsible-ai-development/01_responsible-ai-development-module-introduction/01_01_introduction.mp4 523.6 KB
intro-tensorflow/05_training-at-scale-with-vertex-ai/01_training-at-scale-with-vertex-ai-module-introduction/01_01_introduction.mp4 493.3 KB
art-science-ml/05_vertex-vizier-hyperparameter-tuning/02_hyperparameter-tuning/02_02_lab-intro-vertex-ai-hyperparameter-tuning.mp4 491.9 KB
google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/01_best-practices-for-implementing-machine-learning-on-vertex-ai-module/01_01_introduction.mp4 477.2 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/01_science-of-machine-learning-and-custom-training-module-introduction/01_01_introduction.mp4 470.4 KB
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_03_lab-intro-monitoring-vertex-ai-models.mp4 467.4 KB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/01_introduction-to-tensorflow-transform-module-introduction/01_01_introduction.mp4 454.9 KB
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/01_introduction-to-the-tensorflow-ecosystem-module-introduction/01_01_introduction-to-the-tensorflow-ecosystem.mp4 442.7 KB
art-science-ml/08_best-practices-for-ml-development/01_best-practices-for-ml-development-on-vertex-ai-module-introduction/01_01_introduction.mp4 440.8 KB
art-science-ml/03_data-in-the-enterprise/01_data-in-the-enterprise-module-introduction/01_01_introduction.mp4 435.3 KB
feature-engineering/04_module-3-feature-engineering/01_feature-engineering-module-introduction/01_01_introduction.mp4 430.9 KB
google-machine-learning/05_machine-learning-development-with-vertex-notebooks/01_ml-development-with-vertex-notebooks-module-introduction/01_01_introduction.mp4 409.4 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_03_lab-intro-using-an-image-dataset-to-train-an-automl-model.mp4 378.6 KB
feature-engineering/03_module-2-raw-data-to-features/01_raw-data-to-features-module-introduction/01_01_introduction.mp4 372.4 KB
feature-engineering/08_module-7-summary/01_summary/01_01_summary_Feature Engineering _ Course Summary.pdf 372.0 KB
feature-engineering/09_Resources/01_summary/01_01__Feature Engineering _ Course Summary.pdf 372.0 KB
art-science-ml/02_understanding-the-ml-enterprise-workflow/01_understanding-the-ml-enterprise-workflow-module-introduction-and-overview/01_01_introduction.mp4 367.3 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_05_lab-intro-training-an-automl-video-classification-model.mp4 361.2 KB
art-science-ml/07_vertex-ai-pipelines/01_vertex-ai-pipelines-module-introduction/01_01_introduction.mp4 351.3 KB
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/01_feature-crosses-tensorflow-playground-module-introduction/01_01_introduction.mp4 346.4 KB
art-science-ml/05_vertex-vizier-hyperparameter-tuning/01_vertex-vizier-hyperparameter-tuning-module-introduction/01_01_introduction.mp4 323.4 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_04_activity-framing-a-machine-learning-problem_Activity Framing a machine learning problem.pdf 306.3 KB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_03_lab-intro-exploring-and-creating-an-ecommerce-analytics-pipeline-with-dataprep.mp4 264.0 KB
feature-engineering/05_module-4-preprocessing-and-feature-creation/02_apache-beam-and-dataflow/02_03_preprocessing-and-feature-creation_exam.html 262.5 KB
intro-tensorflow/06_summary/01_course-summary/01_01_summary_TensorFlow on Google Cloud _ Course Summary.pdf 240.4 KB
feature-engineering/09_Resources/02_resource-all-quiz-questions/02_01__Feature Engineering - ALL QUIZ QUESTIONS v3.0.pdf 226.3 KB
feature-engineering/08_module-7-summary/01_summary/01_02_resource-all-quiz-questions_Feature Engineering - ALL QUIZ QUESTIONS v3.0.pdf 226.2 KB
intro-tensorflow/06_summary/01_course-summary/01_02_resource-all-quiz-questions_v3.0.4 TF on GC - ALL QUIZ QUESTIONS.pdf 198.1 KB
google-machine-learning/08_summary/01_course-summary/01_02_resource-all-quiz-questions_HGDML - ALL QUIZ QUESTIONS and ANSWERS v3.0.pdf 178.4 KB
launching-machine-learning/08_summary/01_course-summary/01_02_resource-all-quiz-questions_v3.0_ALL - Quiz Question LIML .docx.pdf 172.2 KB
art-science-ml/09_course-summary/01_course-summary/01_02_resource-all-quiz-questions_ML in the Enterprise - ALL QUIZ QUESTIONS v3.0.docx.pdf 171.8 KB
feature-engineering/09_Resources/03_resource-all-readings/03_01__v3.0 ML on GC-READINGS - Feature Engineering.pdf 151.1 KB
art-science-ml/09_course-summary/01_course-summary/01_03_resources-all-readings_Machine Learning in the Enterprise - Resources.pdf 66.3 KB
art-science-ml/11_Resources/08_course-resources-all-readings/08_01__Machine Learning in the Enterprise - Resources.pdf 66.3 KB
launching-machine-learning/08_summary/01_course-summary/01_03_resource-all-readings_Launching into Machine Learning - Resources.pdf 61.7 KB
launching-machine-learning/09_Resources/07_resource-all-readings/07_01__Launching into Machine Learning - Resources.pdf 61.7 KB
intro-tensorflow/06_summary/01_course-summary/01_03_resource-all-readings_TensorFlow on Google Cloud - Resources.pdf 61.3 KB
intro-tensorflow/07_Resources/05_resources-all-readings/05_01__TensorFlow on Google Cloud - Resources.pdf 61.3 KB
google-machine-learning/08_summary/01_course-summary/01_03_resource-all-readings_How Google Does Machine Learning - Resources.pdf 56.1 KB
feature-engineering/08_module-7-summary/01_summary/01_03_resource-all-readings_Feature Engineering - Resources.pdf 52.4 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/04_regularization/04_04_resources-building-neural-networks-with-the-tensorflow-and-keras-api_Module 3_ Building Neural Networks with the TensorFlow and Keras API - Resources.pdf 47.1 KB
intro-tensorflow/07_Resources/03_resources-module-3/03_01__Module 3_ Building Neural Networks with the TensorFlow and Keras API - Resources.pdf 47.1 KB
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_05_resources-introduction-to-the-tensorflow-ecosystem_Module 1_ Introduction to the TensorFlow Ecosystem - Resources.pdf 44.4 KB
intro-tensorflow/07_Resources/01_resources-module-1/01_01__Module 1_ Introduction to the TensorFlow Ecosystem - Resources.pdf 44.4 KB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_07_resources-machine-learning-in-practice_Module 2_ Machine Learning in Practice - Resources.pdf 44.3 KB
launching-machine-learning/09_Resources/02_course-resource-module-2/02_01__Module 2_ Machine Learning in Practice - Resources.pdf 44.3 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_08_resources-science-of-machine-learning-and-custom-training_Module 3_ The Science of Machine Learning and Custom Training - Resources.pdf 43.6 KB
art-science-ml/11_Resources/03_course-resource-module-3/03_01__Module 3_ The Science of Machine Learning and Custom Training - Resources.pdf 43.6 KB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_06_resources-data-in-the-enterprise_Module 2_ Data in the Enterprise - Resources.pdf 43.6 KB
art-science-ml/11_Resources/02_course-resource-module-2/02_01__Module 2_ Data in the Enterprise - Resources.pdf 43.6 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_09_resources-how-google-does-ml_Module 2_ How Google Does Machine Learning - Resources.pdf 43.3 KB
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_05_resources-prediction-and-model-monitoring-using-vertex-ai_Module 5_ Prediction and Model Monitoring using Vertex AI - Resources.pdf 42.1 KB
art-science-ml/11_Resources/05_course-resource-module-5/05_01__Module 5_ Prediction and Model Monitoring using Vertex AI - Resources.pdf 42.1 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/03_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers/03_04_resources-design-and-build-a-tensorflow-input-data-pipeline_Module 2_ Design and Build an Input Data Pipeline - Resources.pdf 40.9 KB
intro-tensorflow/07_Resources/02_resources-module-2/02_01__Module 2_ Design and Build an Input Data Pipeline - Resources.pdf 40.9 KB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_06_resources-training-automl-models-using-vertex-ai_Module 3_ Training AutoML Models Using Vertex AI - Resources.pdf 40.8 KB
launching-machine-learning/09_Resources/03_course-resource-module-3/03_01__Module 3_ Training AutoML Models Using Vertex AI - Resources.pdf 40.8 KB
intro-tensorflow/05_training-at-scale-with-vertex-ai/02_scaling-tensorflow-with-vertex-ai/02_04_resources-training-at-scale-with-vertex-ai_Module 4_ Training at Scale with Vertex AI - Resources.pdf 40.7 KB
intro-tensorflow/07_Resources/04_resources-module-4/04_01__Module 4_ Training at Scale with Vertex AI - Resources.pdf 40.7 KB
google-machine-learning/05_machine-learning-development-with-vertex-notebooks/02_ml-development-with-vertex-notebooks/02_03_resources-machine-learning-development-with-vertex-notebooks_Module 4_ Machine Learning Development with Vertex Notebooks - Resources.pdf 40.6 KB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_05_resources-best-practices-for-ml-development-on-vertex-ai_Module 7_ Best Practices for Machine Learning Development - Resources.pdf 40.4 KB
art-science-ml/11_Resources/07_course-resource-module-7/07_01__Module 7_ Best Practices for Machine Learning Development - Resources.pdf 40.4 KB
art-science-ml/02_understanding-the-ml-enterprise-workflow/01_understanding-the-ml-enterprise-workflow-module-introduction-and-overview/01_04_resources-understanding-the-ml-enterprise-workflow_Module 1_ Understanding the Machine Learning Enterprise Workflow - Resources.pdf 40.2 KB
art-science-ml/11_Resources/01_course-resource-module-1/01_01__Module 1_ Understanding the Machine Learning Enterprise Workflow - Resources.pdf 40.2 KB
launching-machine-learning/06_optimization/05_performance-metrics/05_04_resources-optimization_Module 5_ Optimization - Resources.pdf 40.0 KB
launching-machine-learning/09_Resources/05_course-resource-module-5/05_01__Module 5_ Optimization - Resources.pdf 40.0 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_09_resources-machine-learning-development-with-vertex-ai_Module 3_ Machine Learning Development with Vertex AI - Resources.pdf 39.8 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_09_resources-what-it-means-to-be-ai-first_Module 1_ What it Means to be AI First - Resources.pdf 39.7 KB
art-science-ml/05_vertex-vizier-hyperparameter-tuning/02_hyperparameter-tuning/02_04_resources-vertex-vizier-hyperparameter-tuning_Module 4_ Vertex Vizier Hyperparameter Tuning - Resources.pdf 39.5 KB
art-science-ml/11_Resources/04_course-resource-module-4/04_01__Module 4_ Vertex Vizier Hyperparameter Tuning - Resources.pdf 39.5 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_10_resources-get-to-know-your-data-improve-data-through-exploratory-data-analysis_Module 1_ Get to Know Your Data_ Improve Data through Exploratory Data Analysis - Resources.pdf 39.2 KB
launching-machine-learning/09_Resources/01_course-resource-module-1/01_01__Module 1_ Get to Know Your Data_ Improve Data through Exploratory Data Analysis - Resources.pdf 39.2 KB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_07_resources-feature-engineering_Module 3_ Feature Engineering - Resources.pdf 39.2 KB
art-science-ml/07_vertex-ai-pipelines/02_prediction-using-vertex-ai-pipelines/02_05_resources-vertex-ai-pipelines_Module 6_ Vertex AI Pipelines - Resources.pdf 39.1 KB
art-science-ml/11_Resources/06_course-resource-module-6/06_01__Module 6_ Vertex AI Pipelines - Resources.pdf 39.1 KB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_08_resources-bigquery-machine-learning-develop-ml-models-where-your-data-lives_Module 4_ BigQuery Machine Learning_ Develop ML Models Where Your Data Lives - Resources.pdf 38.9 KB
launching-machine-learning/09_Resources/04_course-resource-module-4/04_01__Module 4_ BigQuery Machine Learning_ Develop ML Models Where Your Data Lives - Resources.pdf 38.9 KB
feature-engineering/03_module-2-raw-data-to-features/04_representing-features/04_03_resources-raw-data-to-features_Module 2_ Raw Data to Features - Resources.pdf 38.7 KB
feature-engineering/05_module-4-preprocessing-and-feature-creation/02_apache-beam-and-dataflow/02_04_resources-preprocessing-and-feature-creation_Module 4_ Preprocessing and Feature Creation - Resources.pdf 38.6 KB
launching-machine-learning/07_generalization-and-sampling/03_sampling/03_04_resources-generalization-and-sampling_Module 6_ Generalization and Sampling - Resources.pdf 38.6 KB
launching-machine-learning/09_Resources/06_course-resource-module-6/06_01__Module 6_ Generalization and Sampling - Resources.pdf 38.6 KB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_05_resources-responsible-ai-development_Module 6_ Responsible AI Development - Resources.pdf 38.2 KB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_06_resources-introduction-to-tensorflow-transform_Module 6_ TensorFlow Transform - Resources.pdf 37.9 KB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/06_serving-features-batch-and-online/06_03_resources-introduction-to-vertex-ai-feature-store_Module 1_ Introduction to Vertex AI Feature Store - Resources.pdf 37.4 KB
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_06_resources-feature-crosses-tensorflow-playground_Module 5_ Feature Crosses and TensorFlow Playground - Resources.pdf 34.8 KB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_05_logistic-regression.en.srt 26.1 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_04_lab-demo-improve-the-quality-of-your-data.en.srt 24.7 KB
art-science-ml/05_vertex-vizier-hyperparameter-tuning/02_hyperparameter-tuning/02_01_vertex-ai-vizier-hyperparameter-tuning.en.srt 21.2 KB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_02_linear-regression.en.srt 19.7 KB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_02_equality-of-opportunity.en.srt 17.9 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_07_build-a-data-strategy-around-ml.en.srt 16.8 KB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_05_logistic-regression.en.txt 16.6 KB
launching-machine-learning/07_generalization-and-sampling/03_sampling/03_02_demo-splitting-datasets-in-bigquery.en.srt 16.5 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_03_the-secret-sauce.en.srt 15.7 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_01_improve-data-quality.en.srt 15.4 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_04_lab-demo-improve-the-quality-of-your-data.en.txt 15.2 KB
feature-engineering/03_module-2-raw-data-to-features/04_representing-features/04_01_representing-features.en.srt 14.7 KB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_04_lab-demo-intro-to-linear-regression.en.srt 14.7 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/02_activation-functions/02_01_activation-functions.en.srt 14.6 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_04_embeddings.en.srt 14.3 KB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_04_evaluate-automl-models.en.srt 14.1 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_06_a-closer-look-at-the-path-to-ml.en.srt 14.0 KB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_03_automl-regression-model.en.srt 13.9 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/03_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers/03_01_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers.en.srt 13.6 KB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_01_tensorflow-transform.en.srt 13.5 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_04_training-neural-networks-with-tensorflow-2-and-the-keras-functional-api.en.srt 13.1 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_04_training-requirements-and-dependencies-part-1.en.srt 13.1 KB
google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/02_best-practices-for-implementing-machine-learning-on-vertex-ai/02_01_best-practices-for-machine-learning-development.en.srt 12.9 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/02_moving-from-experimentation-to-production/02_01_moving-from-experimentation-to-production.en.srt 12.9 KB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_04_lab-demo-using-bigquery-ml-to-predict-penguin-weight-bigquery-ml-explainable-ai.en.srt 12.9 KB
art-science-ml/05_vertex-vizier-hyperparameter-tuning/02_hyperparameter-tuning/02_01_vertex-ai-vizier-hyperparameter-tuning.en.txt 12.7 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_01_what-is-ml.en.srt 12.4 KB
launching-machine-learning/06_optimization/04_tensorflow-playground/04_03_lecture-lab-practicing-with-neural-networks.en.srt 12.3 KB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_01_machine-learning-vs-deep-learning.en.srt 12.2 KB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_01_evaluating-metrics-with-inclusion-for-your-ml-system.en.srt 12.2 KB
launching-machine-learning/07_generalization-and-sampling/03_sampling/03_01_creating-repeatable-samples-in-bigquery.en.srt 11.8 KB
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_03_components-of-tensorflow-tensors-and-variables.en.srt 11.8 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_02_make-training-faster.en.srt 11.6 KB
feature-engineering/03_module-2-raw-data-to-features/02_overview/02_01_overview-of-feature-engineering.en.srt 11.4 KB
launching-machine-learning/06_optimization/03_gradient-descent/03_03_ml-model-pitfalls.en.srt 11.4 KB
launching-machine-learning/06_optimization/02_defining-ml-models/02_02_introducing-the-course-dataset.en.srt 11.1 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_01_training-neural-networks-with-tensorflow-2-and-the-keras-sequential-api.en.srt 11.0 KB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/05_creating-a-feature-store/05_01_creating-a-feature-store.en.srt 10.9 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_01_the-art-and-science-of-machine-learning.en.srt 10.8 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_02_what-problems-can-it-solve.en.srt 10.6 KB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_01_predict-housing-prices.en.srt 10.5 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_03_getting-the-data-ready-for-model-training.en.srt 10.4 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_06_lab-demo-training-an-automl-video-classification-model.en.srt 10.4 KB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_02_linear-regression.en.txt 10.3 KB
launching-machine-learning/06_optimization/02_defining-ml-models/02_03_introduction-to-loss-functions.en.srt 10.0 KB
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_02_model-management-using-vertex-ai.en.srt 9.9 KB
intro-tensorflow/05_training-at-scale-with-vertex-ai/02_scaling-tensorflow-with-vertex-ai/02_01_training-at-scale-with-vertex-ai.en.srt 9.9 KB
launching-machine-learning/06_optimization/04_tensorflow-playground/04_01_lecture-lab-introducing-the-tensorflow-playground.en.srt 9.9 KB
launching-machine-learning/07_generalization-and-sampling/02_generalization/02_01_generalization-and-ml-models.en.srt 9.8 KB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_03_how-to-find-errors-in-your-dataset-using-facets.en.srt 9.5 KB
launching-machine-learning/06_optimization/05_performance-metrics/05_02_confusion-matrix.en.srt 9.4 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_01_components-of-vertex-ai.en.srt 9.3 KB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_02_equality-of-opportunity.en.txt 9.3 KB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_04_responsible-ai-development_exam.html 9.0 KB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_02_features-should-be-known-at-prediction-time.en.srt 8.9 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_06_a-closer-look-at-the-path-to-ml.en.txt 8.9 KB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_04_evaluate-automl-models.en.txt 8.9 KB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_04_lab-demo-intro-to-linear-regression.en.txt 8.8 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_07_build-a-data-strategy-around-ml.en.txt 8.8 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/03_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers/03_01_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers.en.txt 8.8 KB
google-machine-learning/07_responsible-ai-development/02_machine-learning-and-human-bias/02_03_biases-in-data.en.srt 8.8 KB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_04_features-should-have-enough-examples.en.srt 8.7 KB
launching-machine-learning/06_optimization/03_gradient-descent/03_01_gradient-descent.en.srt 8.7 KB
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_01_predictions-using-vertex-ai.en.srt 8.7 KB
google-machine-learning/05_machine-learning-development-with-vertex-notebooks/02_ml-development-with-vertex-notebooks/02_01_machine-learning-development-with-vertex-notebooks.en.srt 8.7 KB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_06_feature-engineering_exam.html 8.6 KB
feature-engineering/05_module-4-preprocessing-and-feature-creation/02_apache-beam-and-dataflow/02_02_dataflow-terms-and-concepts.en.srt 8.6 KB
launching-machine-learning/07_generalization-and-sampling/03_sampling/03_02_demo-splitting-datasets-in-bigquery.en.txt 8.6 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/04_regularization/04_01_regularization-basics.en.srt 8.5 KB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_03_temporal-and-geolocation-features.en.srt 8.5 KB
launching-machine-learning/07_generalization-and-sampling/02_generalization/02_02_when-to-stop-model-training.en.srt 8.4 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_04_lab-demo-using-an-image-dataset-to-train-an-automl-model.en.srt 8.4 KB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_03_automl-regression-model.en.txt 8.3 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/02_moving-from-experimentation-to-production/02_01_moving-from-experimentation-to-production.en.txt 8.3 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_03_the-secret-sauce.en.txt 8.3 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_04_training-neural-networks-with-tensorflow-2-and-the-keras-functional-api.en.txt 8.2 KB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_01_basic-feature-engineering.en.srt 8.2 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_01_improve-data-quality.en.txt 8.1 KB
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_01_introduction-to-tensorflow.en.srt 8.0 KB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_01_training-an-ml-model-using-bigquery-ml.en.srt 7.9 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/04_regularization/04_03_building-neural-networks-in-tensorflow-with-keras-api_exam.html 7.9 KB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_06_how-to-build-and-deploy-a-recommendation-system-with-bigquery-ml.en.srt 7.8 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_01_what-is-ml.en.txt 7.7 KB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_04_lab-demo-using-bigquery-ml-to-predict-penguin-weight-bigquery-ml-explainable-ai.en.txt 7.7 KB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_05_training-automl-models-using-vertex-ai_exam.html 7.7 KB
art-science-ml/03_data-in-the-enterprise/02_tools-for-data-management-and-governance/02_01_feature-store.en.srt 7.7 KB
feature-engineering/03_module-2-raw-data-to-features/04_representing-features/04_01_representing-features.en.txt 7.6 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/02_activation-functions/02_01_activation-functions.en.txt 7.6 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_02_getting-started-with-google-cloud-platform-and-qwiklabs.en.srt 7.6 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_04_embeddings.en.txt 7.6 KB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_02_coursera-getting-started-with-google-cloud-platform-and-qwiklabs.en.srt 7.5 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/03_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers/03_03_design-and-build-input-data-pipeline_exam.html 7.4 KB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_01_evaluating-metrics-with-inclusion-for-your-ml-system.en.txt 7.4 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_02_make-training-faster.en.txt 7.4 KB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_04_coursera-getting-started-with-google-cloud-and-qwiklabs.en.srt 7.4 KB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_01_supervised-learning.en.srt 7.4 KB
feature-engineering/03_module-2-raw-data-to-features/02_overview/02_01_overview-of-feature-engineering.en.txt 7.3 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/04_regularization/04_02_how-can-we-measure-model-complexity-l1-vs-l2-regularization.en.srt 7.2 KB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_01_tensorflow-transform.en.txt 7.2 KB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/03_feature-store-terminology-and-concepts/03_01_feature-store-terminology-and-concepts.en.srt 7.1 KB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_03_features-should-be-numeric.en.srt 7.1 KB
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_03_components-of-tensorflow-tensors-and-variables.en.txt 7.1 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_08_machine-learning-development-with-vertex-ai_exam.html 7.0 KB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_02_dataprep.en.srt 7.0 KB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_04_advanced-feature-engineering-feature-crosses.en.srt 7.0 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_01_training-neural-networks-with-tensorflow-2-and-the-keras-sequential-api.en.txt 6.9 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_04_training-requirements-and-dependencies-part-1.en.txt 6.8 KB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/05_creating-a-feature-store/05_01_creating-a-feature-store.en.txt 6.8 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_02_ml-surprise.en.srt 6.8 KB
launching-machine-learning/06_optimization/05_performance-metrics/05_01_performance-metrics.en.srt 6.8 KB
google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/02_best-practices-for-implementing-machine-learning-on-vertex-ai/02_01_best-practices-for-machine-learning-development.en.txt 6.7 KB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/02_feature-store-benefits/02_01_feature-store-benefits.en.srt 6.7 KB
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_02_tensorflow-api-hierarchy.en.srt 6.6 KB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_01_good-features-versus-bad-features.en.srt 6.6 KB
art-science-ml/03_data-in-the-enterprise/03_pre-ga-tools/03_01_dataplex.en.srt 6.5 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_07_science-of-machine-learning-and-custom-training_exam.html 6.5 KB
launching-machine-learning/06_optimization/04_tensorflow-playground/04_03_lecture-lab-practicing-with-neural-networks.en.txt 6.4 KB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_01_machine-learning-vs-deep-learning.en.txt 6.4 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_03_when-to-use-custom-training.en.srt 6.4 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_02_getting-started-with-google-cloud-and-qwiklabs.en.srt 6.4 KB
feature-engineering/05_module-4-preprocessing-and-feature-creation/02_apache-beam-and-dataflow/02_01_apache-beam-and-dataflow.en.srt 6.3 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_06_lab-demo-training-an-automl-video-classification-model.en.txt 6.3 KB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/06_serving-features-batch-and-online/06_01_serving-features-batch-and-online.en.srt 6.2 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_05_coursera-getting-started-with-google-cloud-and-qwiklabs.en.srt 6.2 KB
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_04_prediction-and-model-monitoring-using-vertex-ai_exam.html 6.2 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_06_model-subclassing.en.srt 6.2 KB
launching-machine-learning/07_generalization-and-sampling/03_sampling/03_01_creating-repeatable-samples-in-bigquery.en.txt 6.2 KB
art-science-ml/02_understanding-the-ml-enterprise-workflow/01_understanding-the-ml-enterprise-workflow-module-introduction-and-overview/01_02_overview-of-an-ml-enterprise-workflow.en.srt 6.1 KB
launching-machine-learning/06_optimization/03_gradient-descent/03_03_ml-model-pitfalls.en.txt 6.1 KB
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_02_model-management-using-vertex-ai.en.txt 6.1 KB
launching-machine-learning/06_optimization/02_defining-ml-models/02_03_introduction-to-loss-functions.en.txt 6.1 KB
launching-machine-learning/07_generalization-and-sampling/02_generalization/02_01_generalization-and-ml-models.en.txt 6.1 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_05_activity-solutions-framing-a-machine-learning-problem.en.srt 6.1 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_05_the-path-to-ml.en.srt 6.0 KB
launching-machine-learning/06_optimization/02_defining-ml-models/02_01_defining-ml-models.en.srt 5.9 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_02_working-in-memory-and-with-files.en.srt 5.9 KB
google-machine-learning/05_machine-learning-development-with-vertex-notebooks/02_ml-development-with-vertex-notebooks/02_02_machine-learning-development-with-vertex-notebooks_exam.html 5.9 KB
launching-machine-learning/06_optimization/04_tensorflow-playground/04_02_lecture-lab-tensorflow-playground-advanced.en.srt 5.8 KB
launching-machine-learning/06_optimization/02_defining-ml-models/02_02_introducing-the-course-dataset.en.txt 5.8 KB
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_04_introduction-to-the-tensorflow-ecosystem_exam.html 5.8 KB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/06_serving-features-batch-and-online/06_02_introduction-to-vertex-ai-feature-store_exam.html 5.7 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_01_the-art-and-science-of-machine-learning.en.txt 5.7 KB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_03_transform-phase.en.srt 5.7 KB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_02_features-should-be-known-at-prediction-time.en.txt 5.7 KB
feature-engineering/04_module-3-feature-engineering/01_feature-engineering-module-introduction/01_02_machine-learning-versus-statistics.en.srt 5.6 KB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_04_features-should-have-enough-examples.en.txt 5.6 KB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_01_predict-housing-prices.en.txt 5.6 KB
google-machine-learning/07_responsible-ai-development/02_machine-learning-and-human-bias/02_03_biases-in-data.en.txt 5.5 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_02_what-problems-can-it-solve.en.txt 5.5 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_05_what-is-exploratory-data-analysis.en.srt 5.4 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_03_getting-the-data-ready-for-model-training.en.txt 5.4 KB
launching-machine-learning/07_generalization-and-sampling/03_sampling/03_03_generalization-and-sampling_exam.html 5.4 KB
intro-tensorflow/05_training-at-scale-with-vertex-ai/02_scaling-tensorflow-with-vertex-ai/02_03_training-at-scale-with-vertex-ai_exam.html 5.4 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_06_how-is-eda-used-in-machine-learning.en.srt 5.3 KB
launching-machine-learning/06_optimization/04_tensorflow-playground/04_01_lecture-lab-introducing-the-tensorflow-playground.en.txt 5.3 KB
feature-engineering/05_module-4-preprocessing-and-feature-creation/02_apache-beam-and-dataflow/02_02_dataflow-terms-and-concepts.en.txt 5.3 KB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_05_data-in-the-enterprise_exam.html 5.2 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_04_lab-demo-using-an-image-dataset-to-train-an-automl-model.en.txt 5.1 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_01_training-on-large-datasets-with-tf-data-api.en.srt 5.1 KB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_03_how-to-find-errors-in-your-dataset-using-facets.en.txt 5.1 KB
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_01_introduction-to-tensorflow.en.txt 5.1 KB
art-science-ml/05_vertex-vizier-hyperparameter-tuning/02_hyperparameter-tuning/02_03_vertex-vizier-hyperparameter-tuning_exam.html 5.1 KB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_07_bigquery-machine-learning-develop-ml-models-where-your-data-lives_exam.html 5.1 KB
intro-tensorflow/05_training-at-scale-with-vertex-ai/02_scaling-tensorflow-with-vertex-ai/02_01_training-at-scale-with-vertex-ai.en.txt 5.0 KB
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_05_feature-crosses-tensorflow-playground_exam.html 5.0 KB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_03_vertex-ai-pipeline-best-practices.en.srt 5.0 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_01_components-of-vertex-ai.en.txt 5.0 KB
launching-machine-learning/06_optimization/05_performance-metrics/05_02_confusion-matrix.en.txt 5.0 KB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_06_how-to-build-and-deploy-a-recommendation-system-with-bigquery-ml.en.txt 4.9 KB
launching-machine-learning/06_optimization/05_performance-metrics/05_03_optimization_exam.html 4.8 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_06_infuse-your-apps-with-ml.en.srt 4.8 KB
art-science-ml/03_data-in-the-enterprise/02_tools-for-data-management-and-governance/02_01_feature-store.en.txt 4.8 KB
feature-engineering/03_module-2-raw-data-to-features/04_representing-features/04_02_raw-data-to-features_exam.html 4.8 KB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_01_training-an-ml-model-using-bigquery-ml.en.txt 4.7 KB
art-science-ml/03_data-in-the-enterprise/03_pre-ga-tools/03_02_analytics-hub.en.srt 4.7 KB
launching-machine-learning/06_optimization/03_gradient-descent/03_01_gradient-descent.en.txt 4.6 KB
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_01_predictions-using-vertex-ai.en.txt 4.6 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/04_regularization/04_02_how-can-we-measure-model-complexity-l1-vs-l2-regularization.en.txt 4.6 KB
art-science-ml/07_vertex-ai-pipelines/02_prediction-using-vertex-ai-pipelines/02_01_prediction-using-vertex-ai-pipelines.en.srt 4.6 KB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/03_feature-store-terminology-and-concepts/03_01_feature-store-terminology-and-concepts.en.txt 4.5 KB
google-machine-learning/05_machine-learning-development-with-vertex-notebooks/02_ml-development-with-vertex-notebooks/02_01_machine-learning-development-with-vertex-notebooks.en.txt 4.5 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/01_design-and-build-input-data-pipeline-module-introduction/01_02_an-ml-recap.en.srt 4.5 KB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_03_temporal-and-geolocation-features.en.txt 4.5 KB
launching-machine-learning/07_generalization-and-sampling/02_generalization/02_02_when-to-stop-model-training.en.txt 4.5 KB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_01_data-preprocessing-options.en.srt 4.5 KB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_06_machine-learning-in-practice_exam.html 4.5 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/04_regularization/04_01_regularization-basics.en.txt 4.5 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_02_serving-models-in-the-cloud.en.srt 4.5 KB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_01_basic-feature-engineering.en.txt 4.5 KB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_05_bigquery-ml-hyperparameter-tuning.en.srt 4.5 KB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_02_best-practices-for-model-monitoring.en.srt 4.4 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_09_get-to-know-your-data-improve-data-through-exploratory-data-analysis_exam.html 4.4 KB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_04_advanced-feature-engineering-feature-crosses.en.txt 4.4 KB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_03_features-should-be-numeric.en.txt 4.4 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_08_what-it-means-to-be-ai-first_exam.html 4.4 KB
art-science-ml/02_understanding-the-ml-enterprise-workflow/01_understanding-the-ml-enterprise-workflow-module-introduction-and-overview/01_03_understanding-the-ml-enterprise-workflow_exam.html 4.3 KB
launching-machine-learning/06_optimization/03_gradient-descent/03_02_troubleshooting-loss-curves.en.srt 4.3 KB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_02_dataprep.en.txt 4.3 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_08_how-google-does-ml_exam.html 4.2 KB
google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/02_best-practices-for-implementing-machine-learning-on-vertex-ai/02_04_best-practices-for-implementing-machine-learning-on-vertex-ai_exam.html 4.2 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_05_training-requirements-and-dependencies-part-2.en.srt 4.2 KB
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_02_tensorflow-api-hierarchy.en.txt 4.2 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_07_data-analysis-and-visualization.en.srt 4.1 KB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_01_good-features-versus-bad-features.en.txt 4.1 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_04_ml-and-business-processes.en.srt 4.0 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_03_when-to-use-custom-training.en.txt 4.0 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_02_getting-started-with-google-cloud-and-qwiklabs.en.txt 4.0 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_05_coursera-getting-started-with-google-cloud-and-qwiklabs.en.txt 4.0 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_02_getting-started-with-google-cloud-platform-and-qwiklabs.en.txt 4.0 KB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/06_serving-features-batch-and-online/06_01_serving-features-batch-and-online.en.txt 4.0 KB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_05_bucketize-and-transform-functions.en.srt 4.0 KB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_02_coursera-getting-started-with-google-cloud-platform-and-qwiklabs.en.txt 4.0 KB
feature-engineering/05_module-4-preprocessing-and-feature-creation/02_apache-beam-and-dataflow/02_01_apache-beam-and-dataflow.en.txt 4.0 KB
art-science-ml/02_understanding-the-ml-enterprise-workflow/01_understanding-the-ml-enterprise-workflow-module-introduction-and-overview/01_02_overview-of-an-ml-enterprise-workflow.en.txt 3.9 KB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_04_coursera-getting-started-with-google-cloud-and-qwiklabs.en.txt 3.9 KB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_02_bigquery-machine-learning-supported-models.en.srt 3.9 KB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_05_introduction-to-tensorflow-transform_exam.html 3.8 KB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_01_supervised-learning.en.txt 3.8 KB
launching-machine-learning/06_optimization/02_defining-ml-models/02_01_defining-ml-models.en.txt 3.8 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_07_end-of-phases-deep-dive.en.srt 3.8 KB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_02_analyze-phase.en.srt 3.7 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_05_the-path-to-ml.en.txt 3.7 KB
art-science-ml/07_vertex-ai-pipelines/02_prediction-using-vertex-ai-pipelines/02_04_vertex-ai-pipelines_exam.html 3.7 KB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_04_supporting-serving.en.srt 3.6 KB
google-machine-learning/07_responsible-ai-development/02_machine-learning-and-human-bias/02_02_human-biases-lead-to-biases-in-ml-models.en.srt 3.6 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_02_ml-surprise.en.txt 3.6 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_07_tools-to-interact-with-vertex-ai.en.srt 3.6 KB
launching-machine-learning/06_optimization/05_performance-metrics/05_01_performance-metrics.en.txt 3.6 KB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/02_feature-store-benefits/02_01_feature-store-benefits.en.txt 3.5 KB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_02_estimate-taxi-fare.en.srt 3.5 KB
art-science-ml/03_data-in-the-enterprise/03_pre-ga-tools/03_01_dataplex.en.txt 3.4 KB
art-science-ml/10_series-summary onehack.us/01_course-series-summary/01_01_series-summary.en.srt 3.3 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_06_model-subclassing.en.txt 3.3 KB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_03_vertex-ai-pipeline-best-practices.en.txt 3.2 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_02_working-in-memory-and-with-files.en.txt 3.2 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_05_activity-solutions-framing-a-machine-learning-problem.en.txt 3.2 KB
launching-machine-learning/06_optimization/04_tensorflow-playground/04_02_lecture-lab-tensorflow-playground-advanced.en.txt 3.2 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_06_infuse-your-apps-with-ml.en.txt 3.1 KB
google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/02_best-practices-for-implementing-machine-learning-on-vertex-ai/02_03_best-practices-for-machine-learning-environment-setup.en.srt 3.1 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_01_training-on-large-datasets-with-tf-data-api.en.txt 3.1 KB
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_01_what-is-a-feature-cross.en.srt 3.1 KB
feature-engineering/04_module-3-feature-engineering/01_feature-engineering-module-introduction/01_02_machine-learning-versus-statistics.en.txt 3.0 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_06_training-custom-ml-models-using-vertex-ai.en.srt 3.0 KB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_01_best-practices-for-model-deployment-and-serving.en.srt 3.0 KB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_03_transform-phase.en.txt 3.0 KB
art-science-ml/07_vertex-ai-pipelines/02_prediction-using-vertex-ai-pipelines/02_01_prediction-using-vertex-ai-pipelines.en.txt 2.9 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_05_what-is-exploratory-data-analysis.en.txt 2.9 KB
art-science-ml/03_data-in-the-enterprise/03_pre-ga-tools/03_02_analytics-hub.en.txt 2.9 KB
feature-engineering/03_module-2-raw-data-to-features/02_overview/02_02_raw-data-to-features.en.srt 2.9 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_02_serving-models-in-the-cloud.en.txt 2.8 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_06_how-is-eda-used-in-machine-learning.en.txt 2.8 KB
google-machine-learning/01_introduction-to-course-and-series onehack.us/01_series-preview-and-course-introduction/01_01_course-series-preview.en.srt 2.7 KB
art-science-ml/03_data-in-the-enterprise/02_tools-for-data-management-and-governance/02_02_data-catalog.en.srt 2.7 KB
google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/02_best-practices-for-implementing-machine-learning-on-vertex-ai/02_02_data-preprocessing-best-practices.en.srt 2.7 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_05_training-requirements-and-dependencies-part-2.en.txt 2.7 KB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_04_best-practices-for-artifact-organization.en.srt 2.7 KB
launching-machine-learning/07_generalization-and-sampling/01_generalization-and-sampling-module-introduction/01_01_introduction.en.srt 2.6 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_07_data-analysis-and-visualization.en.txt 2.5 KB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_05_bucketize-and-transform-functions.en.txt 2.4 KB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_01_data-preprocessing-options.en.txt 2.4 KB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_02_best-practices-for-model-monitoring.en.txt 2.4 KB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_05_bigquery-ml-hyperparameter-tuning.en.txt 2.4 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/01_design-and-build-input-data-pipeline-module-introduction/01_02_an-ml-recap.en.txt 2.4 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_07_tools-to-interact-with-vertex-ai.en.txt 2.3 KB
launching-machine-learning/06_optimization/03_gradient-descent/03_02_troubleshooting-loss-curves.en.txt 2.3 KB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_02_estimate-taxi-fare.en.txt 2.3 KB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_02_analyze-phase.en.txt 2.3 KB
google-machine-learning/07_responsible-ai-development/02_machine-learning-and-human-bias/02_02_human-biases-lead-to-biases-in-ml-models.en.txt 2.2 KB
google-machine-learning/01_introduction-to-course-and-series onehack.us/01_series-preview-and-course-introduction/01_02_course-introduction.en.srt 2.2 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_03_activity-intro-framing-a-machine-learning-problem.en.srt 2.2 KB
art-science-ml/10_series-summary onehack.us/01_course-series-summary/01_01_series-summary.en.txt 2.1 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_04_ml-and-business-processes.en.txt 2.1 KB
google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/02_best-practices-for-implementing-machine-learning-on-vertex-ai/02_03_best-practices-for-machine-learning-environment-setup.en.txt 2.1 KB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/04_the-feature-store-data-model/04_01_the-feature-store-data-model.en.srt 2.1 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_07_end-of-phases-deep-dive.en.txt 2.0 KB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_02_bigquery-machine-learning-supported-models.en.txt 2.0 KB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_04_supporting-serving.en.txt 2.0 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/01_ml-development-with-vertex-ai-module-introduction/01_01_introduction.en.srt 1.9 KB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_02_what-is-automated-machine-learning.en.srt 1.9 KB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_01_best-practices-for-model-deployment-and-serving.en.txt 1.9 KB
art-science-ml/01_introduction onehack.us/01_introduction/01_01_course-introduction.en.srt 1.8 KB
google-machine-learning/01_introduction-to-course-and-series onehack.us/01_series-preview-and-course-introduction/01_01_course-series-preview.en.txt 1.8 KB
launching-machine-learning/07_generalization-and-sampling/01_generalization-and-sampling-module-introduction/01_01_introduction.en.txt 1.7 KB
google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/02_best-practices-for-implementing-machine-learning-on-vertex-ai/02_02_data-preprocessing-best-practices.en.txt 1.7 KB
art-science-ml/03_data-in-the-enterprise/02_tools-for-data-management-and-governance/02_02_data-catalog.en.txt 1.7 KB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_04_best-practices-for-artifact-organization.en.txt 1.7 KB
google-machine-learning/07_responsible-ai-development/02_machine-learning-and-human-bias/02_01_overview.en.srt 1.7 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_03_lab-intro-improve-the-quality-of-your-data.en.srt 1.6 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_06_training-custom-ml-models-using-vertex-ai.en.txt 1.6 KB
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_01_what-is-a-feature-cross.en.txt 1.6 KB
feature-engineering/03_module-2-raw-data-to-features/02_overview/02_02_raw-data-to-features.en.txt 1.6 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_10_resources-get-to-know-your-data-improve-data-through-exploratory-data-analysis_instructions.html 1.2 KB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_02_what-is-automated-machine-learning.en.txt 1.2 KB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_08_resources-bigquery-machine-learning-develop-ml-models-where-your-data-lives_instructions.html 1.2 KB
launching-machine-learning/09_Resources/04_course-resource-module-4/04_01__resources.html 1.2 KB
launching-machine-learning/09_Resources/01_course-resource-module-1/01_01__resources.html 1.2 KB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/04_regularization/04_04_resources-building-neural-networks-with-the-tensorflow-and-keras-api_instructions.html 1.2 KB
intro-tensorflow/07_Resources/03_resources-module-3/03_01__resources.html 1.2 KB
intro-tensorflow/05_training-at-scale-with-vertex-ai/02_scaling-tensorflow-with-vertex-ai/02_02_lab-intro-training-at-scale-with-the-vertex-ai-training-service.en.srt 1.2 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_08_resources-science-of-machine-learning-and-custom-training_instructions.html 1.2 KB
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_05_resources-prediction-and-model-monitoring-using-vertex-ai_instructions.html 1.2 KB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_05_resources-best-practices-for-ml-development-on-vertex-ai_instructions.html 1.2 KB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/06_serving-features-batch-and-online/06_03_resources-introduction-to-vertex-ai-feature-store_instructions.html 1.2 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/03_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers/03_04_resources-design-and-build-a-tensorflow-input-data-pipeline_instructions.html 1.2 KB
art-science-ml/11_Resources/03_course-resource-module-3/03_01__resources.html 1.1 KB
art-science-ml/02_understanding-the-ml-enterprise-workflow/01_understanding-the-ml-enterprise-workflow-module-introduction-and-overview/01_04_resources-understanding-the-ml-enterprise-workflow_instructions.html 1.1 KB
art-science-ml/11_Resources/01_course-resource-module-1/01_01__resources.html 1.1 KB
art-science-ml/11_Resources/05_course-resource-module-5/05_01__resources.html 1.1 KB
art-science-ml/11_Resources/07_course-resource-module-7/07_01__resources.html 1.1 KB
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_06_resources-feature-crosses-tensorflow-playground_instructions.html 1.1 KB
google-machine-learning/01_introduction-to-course-and-series onehack.us/01_series-preview-and-course-introduction/01_02_course-introduction.en.txt 1.1 KB
art-science-ml/09_course-summary/01_course-summary/01_03_resources-all-readings_instructions.html 1.1 KB
launching-machine-learning/08_summary/01_course-summary/01_02_resource-all-quiz-questions_instructions.html 1.1 KB
art-science-ml/05_vertex-vizier-hyperparameter-tuning/02_hyperparameter-tuning/02_04_resources-vertex-vizier-hyperparameter-tuning_instructions.html 1.1 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_03_activity-intro-framing-a-machine-learning-problem.en.txt 1.1 KB
intro-tensorflow/01_introduction-to-the-course/01_course-introduction/01_01_introduction.en.srt 1.1 KB
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_05_resources-introduction-to-the-tensorflow-ecosystem_instructions.html 1.1 KB
feature-engineering/05_module-4-preprocessing-and-feature-creation/02_apache-beam-and-dataflow/02_04_resources-preprocessing-and-feature-creation_instructions.html 1.1 KB
intro-tensorflow/07_Resources/01_resources-module-1/01_01__resources.html 1.1 KB
intro-tensorflow/07_Resources/02_resources-module-2/02_01__resources.html 1.1 KB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_06_resources-training-automl-models-using-vertex-ai_instructions.html 1.1 KB
launching-machine-learning/09_Resources/03_course-resource-module-3/03_01__resources.html 1.1 KB
google-machine-learning/07_responsible-ai-development/02_machine-learning-and-human-bias/02_01_overview.en.txt 1.1 KB
art-science-ml/11_Resources/04_course-resource-module-4/04_01__resources.html 1.1 KB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_06_resources-introduction-to-tensorflow-transform_instructions.html 1.1 KB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_07_resources-machine-learning-in-practice_instructions.html 1.1 KB
launching-machine-learning/09_Resources/07_resource-all-readings/07_01__resources.html 1.1 KB
launching-machine-learning/07_generalization-and-sampling/03_sampling/03_04_resources-generalization-and-sampling_instructions.html 1.1 KB
art-science-ml/11_Resources/08_course-resources-all-readings/08_01__resources.html 1.1 KB
intro-tensorflow/05_training-at-scale-with-vertex-ai/02_scaling-tensorflow-with-vertex-ai/02_04_resources-training-at-scale-with-vertex-ai_instructions.html 1.1 KB
intro-tensorflow/07_Resources/04_resources-module-4/04_01__resources.html 1.1 KB
launching-machine-learning/09_Resources/02_course-resource-module-2/02_01__resources.html 1.1 KB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_06_resources-data-in-the-enterprise_instructions.html 1.1 KB
launching-machine-learning/08_summary/01_course-summary/01_03_resource-all-readings_instructions.html 1.1 KB
launching-machine-learning/09_Resources/06_course-resource-module-6/06_01__resources.html 1.1 KB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/04_the-feature-store-data-model/04_01_the-feature-store-data-model.en.txt 1.1 KB
art-science-ml/07_vertex-ai-pipelines/02_prediction-using-vertex-ai-pipelines/02_05_resources-vertex-ai-pipelines_instructions.html 1.1 KB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_07_resources-feature-engineering_instructions.html 1.1 KB
google-machine-learning/05_machine-learning-development-with-vertex-notebooks/02_ml-development-with-vertex-notebooks/02_03_resources-machine-learning-development-with-vertex-notebooks_instructions.html 1.1 KB
google-machine-learning/09_Resources/05_module-5-slides/05_01__resources.html 1.1 KB
google-machine-learning/09_Resources/02_module-2-slides/02_01__resources.html 1.1 KB
launching-machine-learning/06_optimization/05_performance-metrics/05_04_resources-optimization_instructions.html 1.1 KB
art-science-ml/11_Resources/02_course-resource-module-2/02_01__resources.html 1.1 KB
launching-machine-learning/08_summary/01_course-summary/01_01_summary_instructions.html 1.1 KB
google-machine-learning/09_Resources/01_module-1-slides/01_01__resources.html 1.1 KB
feature-engineering/03_module-2-raw-data-to-features/04_representing-features/04_03_resources-raw-data-to-features_instructions.html 1.1 KB
feature-engineering/08_module-7-summary/01_summary/01_02_resource-all-quiz-questions_instructions.html 1.1 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_09_resources-how-google-does-ml_instructions.html 1.1 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_09_resources-machine-learning-development-with-vertex-ai_instructions.html 1.1 KB
art-science-ml/11_Resources/06_course-resource-module-6/06_01__resources.html 1.1 KB
intro-tensorflow/06_summary/01_course-summary/01_03_resource-all-readings_instructions.html 1.1 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_09_resources-what-it-means-to-be-ai-first_instructions.html 1.1 KB
google-machine-learning/09_Resources/03_module-3-slides/03_01__resources.html 1.1 KB
feature-engineering/08_module-7-summary/01_summary/01_03_resource-all-readings_instructions.html 1.1 KB
google-machine-learning/09_Resources/04_module-4-slides/04_01__resources.html 1.1 KB
feature-engineering/09_Resources/02_resource-all-quiz-questions/02_01__resources.html 1.1 KB
google-machine-learning/08_summary/01_course-summary/01_02_resource-all-quiz-questions_instructions.html 1.1 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/01_get-to-know-your-data-module-introduction/01_01_introduction.en.srt 1.1 KB
intro-tensorflow/07_Resources/05_resources-all-readings/05_01__resources.html 1.1 KB
feature-engineering/01_module-0-introduction/01_introduction-to-course/01_01_course-introduction.en.srt 1.1 KB
google-machine-learning/09_Resources/06_module-6-slides/06_01__resources.html 1.1 KB
launching-machine-learning/09_Resources/05_course-resource-module-5/05_01__resources.html 1.1 KB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_05_resources-responsible-ai-development_instructions.html 1.1 KB
feature-engineering/09_Resources/03_resource-all-readings/03_01__resources.html 1.1 KB
google-machine-learning/08_summary/01_course-summary/01_03_resource-all-readings_instructions.html 1.1 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_04_activity-framing-a-machine-learning-problem_instructions.html 1.1 KB
launching-machine-learning/08_summary/01_course-summary/01_04_resource-all-slides_instructions.html 1.1 KB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_09_resources-the-science-of-machine-learning_instructions.html 1.1 KB
art-science-ml/10_series-summary onehack.us/01_course-series-summary/01_02_resource-best-practices-summary_instructions.html 1.1 KB
art-science-ml/07_vertex-ai-pipelines/02_prediction-using-vertex-ai-pipelines/02_03_lab-introduction-and-walkthrough-vertex-ai-pipeline_instructions.html 1.1 KB
art-science-ml/09_course-summary/01_course-summary/01_01_summary_instructions.html 1.1 KB
art-science-ml/09_course-summary/01_course-summary/01_02_resource-all-quiz-questions_instructions.html 1.1 KB
google-machine-learning/08_summary/01_course-summary/01_01_summary_instructions.html 1.1 KB
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_02_discretization.en.srt 1.1 KB
intro-tensorflow/06_summary/01_course-summary/01_01_summary_instructions.html 1.1 KB
feature-engineering/08_module-7-summary/01_summary/01_04_resource-all-slides_instructions.html 1.1 KB
feature-engineering/09_Resources/04_resource-all-slides/04_01__resources.html 1.1 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/01_ml-development-with-vertex-ai-module-introduction/01_01_introduction.en.txt 1.1 KB
feature-engineering/08_module-7-summary/01_summary/01_01_summary_instructions.html 1.1 KB
feature-engineering/09_Resources/01_summary/01_01__resources.html 1.1 KB
art-science-ml/09_course-summary/01_course-summary/01_04_resource-all-slides_instructions.html 1.0 KB
intro-tensorflow/06_summary/01_course-summary/01_02_resource-all-quiz-questions_instructions.html 1.0 KB
intro-tensorflow/06_summary/01_course-summary/01_04_resource-all-slides_instructions.html 1.0 KB
google-machine-learning/08_summary/01_course-summary/01_04_resource-all-slides_instructions.html 1.0 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_01_introduction.en.srt 1.0 KB
art-science-ml/01_introduction onehack.us/01_introduction/01_01_course-introduction.en.txt 1008 bytes
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_03_lab-intro-performing-basic-feature-engineering-in-bigquery-ml.en.srt 912 bytes
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_03_lab-intro-introducing-the-keras-sequential-api-on-vertex-ai-platform.en.srt 889 bytes
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_03_lab-intro-improve-the-quality-of-your-data.en.txt 864 bytes
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_08_lab-intro-explore-the-data-using-python-and-bigquery.en.srt 839 bytes
art-science-ml/07_vertex-ai-pipelines/02_prediction-using-vertex-ai-pipelines/02_02_lab-intro-vertex-ai-pipelines.en.srt 827 bytes
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_03_lab-intro-using-bigquery-ml-to-predict-penguin-weight-bigquery-ml-explainable-ai.en.srt 824 bytes
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_05_lab-intro-build-a-dnn-using-the-keras-functional-api-on-vertex-ai-platform.en.srt 777 bytes
launching-machine-learning/03_machine-learning-in-practice/01_machine-learning-in-practice-module-introduction/01_01_introduction.en.srt 777 bytes
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/01_prediction-and-model-monitoring-using-vertex-ai-module-introduction/01_01_introduction.en.srt 761 bytes
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/01_building-neural-networks-with-the-tensorflow-and-keras-api-module-introduction/01_01_introduction.en.srt 753 bytes
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_06_lab-intro-tensorflow-dataset-api.en.srt 752 bytes
launching-machine-learning/06_optimization/01_optimization-module-introduction/01_01_introduction.en.srt 746 bytes
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_04_lab-intro-basic-feature-engineering-in-keras.en.srt 736 bytes
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/01_introduction-to-vertex-ai-feature-store-module-introduction/01_01_introduction.en.srt 732 bytes
google-machine-learning/02_what-it-means-to-be-ai-first/01_what-it-means-to-be-ai-first-module-introduction/01_01_introduction.en.srt 705 bytes
launching-machine-learning/01_introduction/01_introduction-to-the-course/01_01_course-introduction.en.srt 704 bytes
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_05_lab-intro-advanced-feature-engineering-in-keras.en.srt 686 bytes
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_04_lab-intro-tensorflow-playground-too-much-of-a-good-thing.en.srt 676 bytes
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_05_bringing-human-insight.en.srt 660 bytes
intro-tensorflow/03_design-and-build-an-input-data-pipeline/03_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers/03_02_lab-intro-classifying-structured-data-using-keras-preprocessing-layers.en.srt 645 bytes
intro-tensorflow/01_introduction-to-the-course/01_course-introduction/01_01_introduction.en.txt 626 bytes
intro-tensorflow/05_training-at-scale-with-vertex-ai/02_scaling-tensorflow-with-vertex-ai/02_02_lab-intro-training-at-scale-with-the-vertex-ai-training-service.en.txt 622 bytes
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/01_bigquery-machine-learning-module-introduction/01_01_introduction.en.srt 600 bytes
launching-machine-learning/04_training-automl-models-using-vertex-ai/01_training-automl-models-using-vertex-ai-module-introduction/01_01_introduction.en.srt 593 bytes
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_02_discretization.en.txt 587 bytes
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/01_get-to-know-your-data-module-introduction/01_01_introduction.en.txt 574 bytes
feature-engineering/01_module-0-introduction/01_introduction-to-course/01_01_course-introduction.en.txt 571 bytes
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_01_introduction.en.txt 569 bytes
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_03_lab-intro-tensorflow-playground-use-feature-crosses-to-create-a-good-classifier.en.srt 563 bytes
art-science-ml/05_vertex-vizier-hyperparameter-tuning/02_hyperparameter-tuning/02_02_lab-intro-vertex-ai-hyperparameter-tuning.en.srt 548 bytes
feature-engineering/05_module-4-preprocessing-and-feature-creation/01_preprocessing-and-feature-creation-module-introduction/01_01_introduction.en.srt 542 bytes
feature-engineering/07_module-6-introduction-to-tensorflow-transform/01_introduction-to-tensorflow-transform-module-introduction/01_01_introduction.en.srt 542 bytes
intro-tensorflow/03_design-and-build-an-input-data-pipeline/01_design-and-build-input-data-pipeline-module-introduction/01_01_introduction.en.srt 542 bytes
art-science-ml/07_vertex-ai-pipelines/02_prediction-using-vertex-ai-pipelines/02_02_lab-intro-vertex-ai-pipelines.en.txt 531 bytes
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_03_lab-intro-introduction-to-linear-regression.en.srt 531 bytes
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_08_lab-intro-explore-the-data-using-python-and-bigquery.en.txt 509 bytes
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_03_lab-intro-introducing-the-keras-sequential-api-on-vertex-ai-platform.en.txt 491 bytes
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_03_lab-intro-monitoring-vertex-ai-models.en.srt 487 bytes
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_03_lab-intro-using-an-image-dataset-to-train-an-automl-model.en.srt 487 bytes
launching-machine-learning/03_machine-learning-in-practice/01_machine-learning-in-practice-module-introduction/01_01_introduction.en.txt 481 bytes
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_03_lab-intro-performing-basic-feature-engineering-in-bigquery-ml.en.txt 480 bytes
launching-machine-learning/01_introduction/01_introduction-to-the-course/01_01_course-introduction.en.txt 474 bytes
art-science-ml/08_best-practices-for-ml-development/01_best-practices-for-ml-development-on-vertex-ai-module-introduction/01_01_introduction.en.srt 473 bytes
google-machine-learning/07_responsible-ai-development/01_responsible-ai-development-module-introduction/01_01_introduction.en.srt 459 bytes
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_06_lab-intro-tensorflow-dataset-api.en.txt 456 bytes
intro-tensorflow/05_training-at-scale-with-vertex-ai/01_training-at-scale-with-vertex-ai-module-introduction/01_01_introduction.en.srt 438 bytes
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_05_lab-intro-training-an-automl-video-classification-model.en.srt 436 bytes
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_03_lab-intro-using-bigquery-ml-to-predict-penguin-weight-bigquery-ml-explainable-ai.en.txt 426 bytes
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_05_lab-intro-advanced-feature-engineering-in-keras.en.txt 423 bytes
launching-machine-learning/06_optimization/01_optimization-module-introduction/01_01_introduction.en.txt 416 bytes
intro-tensorflow/03_design-and-build-an-input-data-pipeline/03_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers/03_02_lab-intro-classifying-structured-data-using-keras-preprocessing-layers.en.txt 415 bytes
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_04_lab-intro-basic-feature-engineering-in-keras.en.txt 406 bytes
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/01_introduction-to-vertex-ai-feature-store-module-introduction/01_01_introduction.en.txt 402 bytes
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/01_prediction-and-model-monitoring-using-vertex-ai-module-introduction/01_01_introduction.en.txt 397 bytes
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/01_building-neural-networks-with-the-tensorflow-and-keras-api-module-introduction/01_01_introduction.en.txt 389 bytes
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_04_lab-intro-tensorflow-playground-too-much-of-a-good-thing.en.txt 380 bytes
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_05_lab-intro-build-a-dnn-using-the-keras-functional-api-on-vertex-ai-platform.en.txt 379 bytes
feature-engineering/04_module-3-feature-engineering/01_feature-engineering-module-introduction/01_01_introduction.en.srt 376 bytes
google-machine-learning/02_what-it-means-to-be-ai-first/01_what-it-means-to-be-ai-first-module-introduction/01_01_introduction.en.txt 375 bytes
art-science-ml/04_science-of-machine-learning-and-custom-training/01_science-of-machine-learning-and-custom-training-module-introduction/01_01_introduction.en.srt 371 bytes
google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/01_best-practices-for-implementing-machine-learning-on-vertex-ai-module/01_01_introduction.en.srt 371 bytes
art-science-ml/03_data-in-the-enterprise/01_data-in-the-enterprise-module-introduction/01_01_introduction.en.srt 368 bytes
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/01_introduction-to-the-tensorflow-ecosystem-module-introduction/01_01_introduction-to-the-tensorflow-ecosystem.en.srt 360 bytes
feature-engineering/05_module-4-preprocessing-and-feature-creation/01_preprocessing-and-feature-creation-module-introduction/01_01_introduction.en.txt 345 bytes
feature-engineering/03_module-2-raw-data-to-features/01_raw-data-to-features-module-introduction/01_01_introduction.en.srt 335 bytes
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_03_lab-intro-tensorflow-playground-use-feature-crosses-to-create-a-good-classifier.en.txt 333 bytes
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_05_bringing-human-insight.en.txt 330 bytes
launching-machine-learning/04_training-automl-models-using-vertex-ai/01_training-automl-models-using-vertex-ai-module-introduction/01_01_introduction.en.txt 330 bytes
art-science-ml/05_vertex-vizier-hyperparameter-tuning/01_vertex-vizier-hyperparameter-tuning-module-introduction/01_01_introduction.en.srt 327 bytes
art-science-ml/05_vertex-vizier-hyperparameter-tuning/02_hyperparameter-tuning/02_02_lab-intro-vertex-ai-hyperparameter-tuning.en.txt 318 bytes
google-machine-learning/05_machine-learning-development-with-vertex-notebooks/01_ml-development-with-vertex-notebooks-module-introduction/01_01_introduction.en.srt 309 bytes
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/01_bigquery-machine-learning-module-introduction/01_01_introduction.en.txt 304 bytes
google-machine-learning/07_responsible-ai-development/01_responsible-ai-development-module-introduction/01_01_introduction.en.txt 295 bytes
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_03_lab-intro-monitoring-vertex-ai-models.en.txt 290 bytes
art-science-ml/02_understanding-the-ml-enterprise-workflow/01_understanding-the-ml-enterprise-workflow-module-introduction-and-overview/01_01_introduction.en.srt 289 bytes
art-science-ml/07_vertex-ai-pipelines/01_vertex-ai-pipelines-module-introduction/01_01_introduction.en.srt 286 bytes
feature-engineering/07_module-6-introduction-to-tensorflow-transform/01_introduction-to-tensorflow-transform-module-introduction/01_01_introduction.en.txt 279 bytes
intro-tensorflow/03_design-and-build-an-input-data-pipeline/01_design-and-build-input-data-pipeline-module-introduction/01_01_introduction.en.txt 279 bytes
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_03_lab-intro-introduction-to-linear-regression.en.txt 268 bytes
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_03_lab-intro-using-an-image-dataset-to-train-an-automl-model.en.txt 257 bytes
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_03_lab-intro-exploring-and-creating-an-ecommerce-analytics-pipeline-with-dataprep.en.srt 250 bytes
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/01_feature-crosses-tensorflow-playground-module-introduction/01_01_introduction.en.srt 247 bytes
art-science-ml/08_best-practices-for-ml-development/01_best-practices-for-ml-development-on-vertex-ai-module-introduction/01_01_introduction.en.txt 243 bytes
intro-tensorflow/05_training-at-scale-with-vertex-ai/01_training-at-scale-with-vertex-ai-module-introduction/01_01_introduction.en.txt 241 bytes
art-science-ml/04_science-of-machine-learning-and-custom-training/01_science-of-machine-learning-and-custom-training-module-introduction/01_01_introduction.en.txt 240 bytes
google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/01_best-practices-for-implementing-machine-learning-on-vertex-ai-module/01_01_introduction.en.txt 240 bytes
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_05_lab-intro-training-an-automl-video-classification-model.en.txt 239 bytes
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/01_introduction-to-the-tensorflow-ecosystem-module-introduction/01_01_introduction-to-the-tensorflow-ecosystem.en.txt 229 bytes
feature-engineering/04_module-3-feature-engineering/01_feature-engineering-module-introduction/01_01_introduction.en.txt 212 bytes
google-machine-learning/05_machine-learning-development-with-vertex-notebooks/01_ml-development-with-vertex-notebooks-module-introduction/01_01_introduction.en.txt 211 bytes
art-science-ml/03_data-in-the-enterprise/01_data-in-the-enterprise-module-introduction/01_01_introduction.en.txt 204 bytes
art-science-ml/02_understanding-the-ml-enterprise-workflow/01_understanding-the-ml-enterprise-workflow-module-introduction-and-overview/01_01_introduction.en.txt 191 bytes
feature-engineering/03_module-2-raw-data-to-features/01_raw-data-to-features-module-introduction/01_01_introduction.en.txt 171 bytes
art-science-ml/05_vertex-vizier-hyperparameter-tuning/01_vertex-vizier-hyperparameter-tuning-module-introduction/01_01_introduction.en.txt 163 bytes
0. Join Our Discord for More Awesome Stuff!.txt 156 bytes
art-science-ml/07_vertex-ai-pipelines/01_vertex-ai-pipelines-module-introduction/01_01_introduction.en.txt 155 bytes
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_03_lab-intro-exploring-and-creating-an-ecommerce-analytics-pipeline-with-dataprep.en.txt 152 bytes
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/01_feature-crosses-tensorflow-playground-module-introduction/01_01_introduction.en.txt 149 bytes

[Coursera] Machine Learning on Google Cloud Specialization - 5 course series

File List

Download Torrent

Related Resources

Copyright Infringement