[DesireCourse.Com] Udemy - Recommender Systems and Deep Learning in Python

Creation Time	April 24, 2025, 1:12 a.m.
Last Access Time	June 9, 2025, 2:19 a.m.
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Keywords	and Recommender Python DesireCourse - Deep Udemy Systems Learning in Com
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8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 194.3 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 167.0 MB
3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 153.6 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 128.5 MB
8. Appendix/9. What order should I take your courses in (part 2).mp4 123.0 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 117.3 MB
3. Collaborative Filtering/4. Data Preprocessing.mp4 115.9 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 110.0 MB
2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 106.5 MB
4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 102.3 MB
4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 97.4 MB
8. Appendix/8. What order should I take your courses in (part 1).mp4 88.4 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 82.9 MB
8. Appendix/6. How to Code by Yourself (part 1).mp4 82.5 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 73.2 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 70.4 MB
3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 69.5 MB
4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 68.7 MB
7. Basics Review/2. Keras Neural Network in Code.mp4 66.2 MB
4. Matrix Factorization and Deep Learning/13. Matrix Factorization in Keras (Code).mp4 63.9 MB
3. Collaborative Filtering/2. User-User Collaborative Filtering.mp4 60.7 MB
8. Appendix/7. How to Code by Yourself (part 2).mp4 56.7 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/4. Spark Submit.mp4 56.1 MB
2. Simple Recommendation Systems/14. PageRank (part 1).mp4 54.9 MB
2. Simple Recommendation Systems/6. Reddit - Should censorship based on politics be allowed.mp4 53.1 MB
4. Matrix Factorization and Deep Learning/7. Matrix Factorization in Code.mp4 52.4 MB
3. Collaborative Filtering/1. Collaborative Filtering Section Introduction.mp4 51.6 MB
2. Simple Recommendation Systems/15. PageRank (part 2).mp4 49.9 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/6. Training an RBM (part 1).mp4 49.1 MB
4. Matrix Factorization and Deep Learning/18. Autoencoders (AutoRec) Discussion.mp4 48.9 MB
2. Simple Recommendation Systems/13. Demographics and Supervised Learning.mp4 48.6 MB
2. Simple Recommendation Systems/7. Problems with Average Rating _ Explore vs. Exploit (part 1).mp4 47.7 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/9. Categorical RBM for Recommender System Ratings.mp4 47.6 MB
3. Collaborative Filtering/6. Item-Item Collaborative Filtering.mp4 47.6 MB
2. Simple Recommendation Systems/8. Problems with Average Rating _ Explore vs. Exploit (part 2).mp4 45.6 MB
2. Simple Recommendation Systems/9. Bayesian Approach part 1 (Optional).mp4 44.9 MB
3. Collaborative Filtering/3. Collaborative Filtering Exercise Prep.mp4 43.6 MB
7. Basics Review/4. Confidence Intervals (Appendix).mp4 39.8 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/11. RBM Code pt 2.mp4 39.6 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/2. Intro to RBMs.mp4 39.4 MB
8. Appendix/5. How to Succeed in this Course (Long Version).mp4 39.2 MB
7. Basics Review/3. Keras Functional API.mp4 38.6 MB
2. Simple Recommendation Systems/5. Hacker News - Will you be penalized for talking about the NSA.mp4 37.6 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/1. Big Data and Spark Section Introduction.mp4 35.5 MB
2. Simple Recommendation Systems/16. Evaluating a Ranking.mp4 34.9 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/2. Setting up Spark in your Local Environment.mp4 34.7 MB
1. Welcome/2. Outline of the course.mp4 34.2 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/3. Motivation Behind RBMs.mp4 34.0 MB
4. Matrix Factorization and Deep Learning/4. Matrix Factorization - Expanding Our Model.mp4 33.7 MB
2. Simple Recommendation Systems/11. Bayesian Approach part 3 (Gaussian).mp4 32.7 MB
4. Matrix Factorization and Deep Learning/9. SVD (Singular Value Decomposition).mp4 32.6 MB
4. Matrix Factorization and Deep Learning/3. Matrix Factorization - Training.mp4 32.6 MB
4. Matrix Factorization and Deep Learning/12. Matrix Factorization in Keras (Discussion).mp4 32.2 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/5. Neural Network Equations.mp4 31.7 MB
2. Simple Recommendation Systems/17. Section Conclusion.mp4 31.0 MB
2. Simple Recommendation Systems/3. Basic Intuitions.mp4 30.6 MB
2. Simple Recommendation Systems/4. Associations.mp4 29.9 MB
3. Collaborative Filtering/8. Collaborative Filtering Section Conclusion.mp4 29.3 MB
7. Basics Review/1. Keras Discussion.mp4 27.6 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/8. Training an RBM (part 3) - Free Energy.mp4 27.6 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/7. Training an RBM (part 2).mp4 27.3 MB
2. Simple Recommendation Systems/1. Section Introduction and Outline.mp4 27.2 MB
1. Welcome/3. Where to get the code.mp4 27.1 MB
7. Basics Review/5. Gaussian Conjugate Prior (Appendix).mp4 25.1 MB
4. Matrix Factorization and Deep Learning/15. Deep Neural Network (Code).mp4 25.1 MB
2. Simple Recommendation Systems/10. Bayesian Approach part 2 (Sampling and Ranking).mp4 24.5 MB
4. Matrix Factorization and Deep Learning/10. Probabilistic Matrix Factorization.mp4 23.0 MB
4. Matrix Factorization and Deep Learning/5. Matrix Factorization - Regularization.mp4 22.4 MB
1. Welcome/1. Introduction.mp4 21.6 MB
4. Matrix Factorization and Deep Learning/11. Bayesian Matrix Factorization.mp4 20.7 MB
8. Appendix/10. Python 2 vs Python 3.mp4 19.1 MB
2. Simple Recommendation Systems/2. Perspective for this Section.mp4 18.3 MB
8. Appendix/1. What is the Appendix.mp4 18.1 MB
4. Matrix Factorization and Deep Learning/17. Residual Learning (Code).mp4 17.2 MB
4. Matrix Factorization and Deep Learning/1. Matrix Factorization Section Introduction.mp4 16.9 MB
4. Matrix Factorization and Deep Learning/14. Deep Neural Network (Discussion).mp4 15.0 MB
8. Appendix/11. BONUS Where to get discount coupons and FREE deep learning material.mp4 13.4 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/4. Intractability.mp4 12.9 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/6. Making Predictions in the Real World.mp4 11.3 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/1. RBMs for Collaborative Filtering Section Introduction.mp4 10.3 MB
4. Matrix Factorization and Deep Learning/16. Residual Learning (Discussion).mp4 7.5 MB
4. Matrix Factorization and Deep Learning/6. Matrix Factorization - Exercise Prompt.mp4 4.3 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 28.0 KB
8. Appendix/9. What order should I take your courses in (part 2).vtt 20.3 KB
8. Appendix/6. How to Code by Yourself (part 1).vtt 19.6 KB
3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.vtt 18.6 KB
3. Collaborative Filtering/4. Data Preprocessing.vtt 17.5 KB
8. Appendix/2. Windows-Focused Environment Setup 2018.vtt 17.4 KB
4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.vtt 16.7 KB
3. Collaborative Filtering/2. User-User Collaborative Filtering.vtt 15.8 KB
8. Appendix/8. What order should I take your courses in (part 1).vtt 14.2 KB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.vtt 13.8 KB
3. Collaborative Filtering/1. Collaborative Filtering Section Introduction.vtt 13.0 KB
8. Appendix/5. How to Succeed in this Course (Long Version).vtt 12.8 KB
2. Simple Recommendation Systems/15. PageRank (part 2).vtt 12.8 KB
4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.vtt 12.6 KB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....vtt 12.4 KB
2. Simple Recommendation Systems/7. Problems with Average Rating _ Explore vs. Exploit (part 1).vtt 12.3 KB
2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).vtt 12.2 KB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/9. Categorical RBM for Recommender System Ratings.vtt 12.0 KB
3. Collaborative Filtering/3. Collaborative Filtering Exercise Prep.vtt 12.0 KB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.vtt 12.0 KB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/6. Training an RBM (part 1).vtt 11.8 KB
8. Appendix/7. How to Code by Yourself (part 2).vtt 11.6 KB
4. Matrix Factorization and Deep Learning/18. Autoencoders (AutoRec) Discussion.vtt 11.5 KB
7. Basics Review/4. Confidence Intervals (Appendix).vtt 11.5 KB
2. Simple Recommendation Systems/14. PageRank (part 1).vtt 11.4 KB
4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.vtt 11.1 KB
2. Simple Recommendation Systems/6. Reddit - Should censorship based on politics be allowed.vtt 10.1 KB
3. Collaborative Filtering/6. Item-Item Collaborative Filtering.vtt 10.1 KB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.vtt 9.7 KB
4. Matrix Factorization and Deep Learning/3. Matrix Factorization - Training.vtt 9.7 KB
2. Simple Recommendation Systems/8. Problems with Average Rating _ Explore vs. Exploit (part 2).vtt 9.2 KB
2. Simple Recommendation Systems/11. Bayesian Approach part 3 (Gaussian).vtt 9.0 KB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/2. Intro to RBMs.vtt 8.9 KB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.vtt 8.7 KB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/2. Setting up Spark in your Local Environment.vtt 8.6 KB
4. Matrix Factorization and Deep Learning/12. Matrix Factorization in Keras (Discussion).vtt 8.4 KB
4. Matrix Factorization and Deep Learning/4. Matrix Factorization - Expanding Our Model.vtt 8.4 KB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/1. Big Data and Spark Section Introduction.vtt 8.2 KB
4. Matrix Factorization and Deep Learning/9. SVD (Singular Value Decomposition).vtt 8.2 KB
2. Simple Recommendation Systems/5. Hacker News - Will you be penalized for talking about the NSA.vtt 8.0 KB
7. Basics Review/1. Keras Discussion.vtt 8.0 KB
4. Matrix Factorization and Deep Learning/13. Matrix Factorization in Keras (Code).vtt 8.0 KB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.vtt 7.9 KB
2. Simple Recommendation Systems/13. Demographics and Supervised Learning.vtt 7.9 KB
3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.vtt 7.6 KB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/3. Motivation Behind RBMs.vtt 7.5 KB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/5. Neural Network Equations.vtt 7.4 KB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/8. Training an RBM (part 3) - Free Energy.vtt 7.0 KB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/4. Spark Submit.vtt 7.0 KB
4. Matrix Factorization and Deep Learning/10. Probabilistic Matrix Factorization.vtt 6.6 KB
7. Basics Review/2. Keras Neural Network in Code.vtt 6.5 KB
2. Simple Recommendation Systems/10. Bayesian Approach part 2 (Sampling and Ranking).vtt 6.4 KB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/7. Training an RBM (part 2).vtt 6.4 KB
4. Matrix Factorization and Deep Learning/5. Matrix Factorization - Regularization.vtt 6.4 KB
4. Matrix Factorization and Deep Learning/7. Matrix Factorization in Code.vtt 6.4 KB
7. Basics Review/5. Gaussian Conjugate Prior (Appendix).vtt 6.3 KB
3. Collaborative Filtering/8. Collaborative Filtering Section Conclusion.vtt 6.2 KB
1. Welcome/3. Where to get the code.vtt 6.1 KB
2. Simple Recommendation Systems/3. Basic Intuitions.vtt 5.9 KB
4. Matrix Factorization and Deep Learning/11. Bayesian Matrix Factorization.vtt 5.9 KB
1. Welcome/2. Outline of the course.vtt 5.8 KB
8. Appendix/10. Python 2 vs Python 3.vtt 5.3 KB
2. Simple Recommendation Systems/16. Evaluating a Ranking.vtt 5.2 KB
2. Simple Recommendation Systems/4. Associations.vtt 5.0 KB
4. Matrix Factorization and Deep Learning/1. Matrix Factorization Section Introduction.vtt 4.9 KB
2. Simple Recommendation Systems/1. Section Introduction and Outline.vtt 4.8 KB
7. Basics Review/3. Keras Functional API.vtt 4.7 KB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/11. RBM Code pt 2.vtt 4.6 KB
2. Simple Recommendation Systems/2. Perspective for this Section.vtt 4.5 KB
2. Simple Recommendation Systems/17. Section Conclusion.vtt 4.4 KB
1. Welcome/1. Introduction.vtt 3.8 KB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/4. Intractability.vtt 3.3 KB
8. Appendix/1. What is the Appendix.vtt 3.3 KB
4. Matrix Factorization and Deep Learning/14. Deep Neural Network (Discussion).vtt 3.1 KB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/6. Making Predictions in the Real World.vtt 3.0 KB
8. Appendix/11. BONUS Where to get discount coupons and FREE deep learning material.vtt 3.0 KB
4. Matrix Factorization and Deep Learning/15. Deep Neural Network (Code).vtt 2.9 KB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/1. RBMs for Collaborative Filtering Section Introduction.vtt 2.4 KB
4. Matrix Factorization and Deep Learning/16. Residual Learning (Discussion).vtt 2.2 KB
4. Matrix Factorization and Deep Learning/17. Residual Learning (Code).vtt 1.7 KB
4. Matrix Factorization and Deep Learning/6. Matrix Factorization - Exercise Prompt.vtt 1.3 KB
[DesireCourse.Com].txt 754 bytes
[DesireCourse.Com].url 51 bytes
2. Simple Recommendation Systems/9. Bayesian Approach part 1 (Optional).vtt 0 bytes

[DesireCourse.Com] Udemy - Recommender Systems and Deep Learning in Python

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