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

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

磁力链接/BT种子简介

种子哈希：b43d9fe788c8981d14a02be31a3542395319b6ed
文件大小： 4.03G
已经下载：4076次
下载速度：极快
收录时间：2020-02-18
最近下载：2025-10-08

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文件列表

  • 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.7 MB
  • 8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
  • 3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 161.0 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.8 MB
  • 8. Appendix/9. What order should I take your courses in (part 2).mp4 129.0 MB
  • 8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.0 MB
  • 3. Collaborative Filtering/4. Data Preprocessing.mp4 121.5 MB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 115.4 MB
  • 2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 111.7 MB
  • 4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
  • 4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
  • 8. Appendix/8. What order should I take your courses in (part 1).mp4 92.7 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 87.0 MB
  • 8. Appendix/6. How to Code by Yourself (part 1).mp4 86.5 MB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 76.8 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 73.8 MB
  • 3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
  • 4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 72.0 MB
  • 7. Basics Review/2. Keras Neural Network in Code.mp4 69.4 MB
  • 4. Matrix Factorization and Deep Learning/13. Matrix Factorization in Keras (Code).mp4 67.0 MB
  • 3. Collaborative Filtering/2. User-User Collaborative Filtering.mp4 63.6 MB
  • 8. Appendix/7. How to Code by Yourself (part 2).mp4 59.4 MB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/4. Spark Submit.mp4 58.8 MB
  • 2. Simple Recommendation Systems/14. PageRank (part 1).mp4 57.6 MB
  • 2. Simple Recommendation Systems/6. Reddit - Should censorship based on politics be allowed.mp4 55.6 MB
  • 4. Matrix Factorization and Deep Learning/7. Matrix Factorization in Code.mp4 54.9 MB
  • 3. Collaborative Filtering/1. Collaborative Filtering Section Introduction.mp4 54.1 MB
  • 2. Simple Recommendation Systems/15. PageRank (part 2).mp4 52.3 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/6. Training an RBM (part 1).mp4 51.4 MB
  • 4. Matrix Factorization and Deep Learning/18. Autoencoders (AutoRec) Discussion.mp4 51.3 MB
  • 2. Simple Recommendation Systems/13. Demographics and Supervised Learning.mp4 50.9 MB
  • 2. Simple Recommendation Systems/7. Problems with Average Rating _ Explore vs. Exploit (part 1).mp4 50.0 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/9. Categorical RBM for Recommender System Ratings.mp4 49.9 MB
  • 3. Collaborative Filtering/6. Item-Item Collaborative Filtering.mp4 49.9 MB
  • 2. Simple Recommendation Systems/8. Problems with Average Rating _ Explore vs. Exploit (part 2).mp4 47.8 MB
  • 2. Simple Recommendation Systems/9. Bayesian Approach part 1 (Optional).mp4 47.1 MB
  • 3. Collaborative Filtering/3. Collaborative Filtering Exercise Prep.mp4 45.7 MB
  • 7. Basics Review/4. Confidence Intervals (Appendix).mp4 41.8 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/11. RBM Code pt 2.mp4 41.5 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/2. Intro to RBMs.mp4 41.4 MB
  • 8. Appendix/5. How to Succeed in this Course (Long Version).mp4 41.1 MB
  • 7. Basics Review/3. Keras Functional API.mp4 40.5 MB
  • 2. Simple Recommendation Systems/5. Hacker News - Will you be penalized for talking about the NSA.mp4 39.5 MB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/1. Big Data and Spark Section Introduction.mp4 37.3 MB
  • 2. Simple Recommendation Systems/16. Evaluating a Ranking.mp4 36.6 MB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/2. Setting up Spark in your Local Environment.mp4 36.3 MB
  • 1. Welcome/2. Outline of the course.mp4 35.8 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/3. Motivation Behind RBMs.mp4 35.7 MB
  • 4. Matrix Factorization and Deep Learning/4. Matrix Factorization - Expanding Our Model.mp4 35.4 MB
  • 2. Simple Recommendation Systems/11. Bayesian Approach part 3 (Gaussian).mp4 34.3 MB
  • 4. Matrix Factorization and Deep Learning/9. SVD (Singular Value Decomposition).mp4 34.2 MB
  • 4. Matrix Factorization and Deep Learning/3. Matrix Factorization - Training.mp4 34.2 MB
  • 4. Matrix Factorization and Deep Learning/12. Matrix Factorization in Keras (Discussion).mp4 33.8 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/5. Neural Network Equations.mp4 33.2 MB
  • 2. Simple Recommendation Systems/17. Section Conclusion.mp4 32.5 MB
  • 2. Simple Recommendation Systems/3. Basic Intuitions.mp4 32.1 MB
  • 2. Simple Recommendation Systems/4. Associations.mp4 31.3 MB
  • 3. Collaborative Filtering/8. Collaborative Filtering Section Conclusion.mp4 30.8 MB
  • 7. Basics Review/1. Keras Discussion.mp4 29.0 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/8. Training an RBM (part 3) - Free Energy.mp4 28.9 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/7. Training an RBM (part 2).mp4 28.7 MB
  • 2. Simple Recommendation Systems/1. Section Introduction and Outline.mp4 28.6 MB
  • 1. Welcome/3. Where to get the code.mp4 28.5 MB
  • 7. Basics Review/5. Gaussian Conjugate Prior (Appendix).mp4 26.4 MB
  • 4. Matrix Factorization and Deep Learning/15. Deep Neural Network (Code).mp4 26.3 MB
  • 2. Simple Recommendation Systems/10. Bayesian Approach part 2 (Sampling and Ranking).mp4 25.7 MB
  • 4. Matrix Factorization and Deep Learning/10. Probabilistic Matrix Factorization.mp4 24.1 MB
  • 4. Matrix Factorization and Deep Learning/5. Matrix Factorization - Regularization.mp4 23.4 MB
  • 1. Welcome/1. Introduction.mp4 22.7 MB
  • 4. Matrix Factorization and Deep Learning/11. Bayesian Matrix Factorization.mp4 21.7 MB
  • 8. Appendix/10. Python 2 vs Python 3.mp4 20.0 MB
  • 2. Simple Recommendation Systems/2. Perspective for this Section.mp4 19.2 MB
  • 8. Appendix/1. What is the Appendix.mp4 19.0 MB
  • 4. Matrix Factorization and Deep Learning/17. Residual Learning (Code).mp4 18.1 MB
  • 4. Matrix Factorization and Deep Learning/1. Matrix Factorization Section Introduction.mp4 17.7 MB
  • 4. Matrix Factorization and Deep Learning/14. Deep Neural Network (Discussion).mp4 15.7 MB
  • 8. Appendix/11. BONUS Where to get discount coupons and FREE deep learning material.mp4 14.0 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/4. Intractability.mp4 13.6 MB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/6. Making Predictions in the Real World.mp4 11.9 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/1. RBMs for Collaborative Filtering Section Introduction.mp4 10.8 MB
  • 4. Matrix Factorization and Deep Learning/16. Residual Learning (Discussion).mp4 7.9 MB
  • 4. Matrix Factorization and Deep Learning/6. Matrix Factorization - Exercise Prompt.mp4 4.5 MB
  • 8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 28.6 kB
  • 8. Appendix/9. What order should I take your courses in (part 2).vtt 20.8 kB
  • 8. Appendix/6. How to Code by Yourself (part 1).vtt 20.1 kB
  • 3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.vtt 19.0 kB
  • 3. Collaborative Filtering/4. Data Preprocessing.vtt 17.9 kB
  • 8. Appendix/2. Windows-Focused Environment Setup 2018.vtt 17.8 kB
  • 4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.vtt 17.1 kB
  • 3. Collaborative Filtering/2. User-User Collaborative Filtering.vtt 16.1 kB
  • 8. Appendix/8. What order should I take your courses in (part 1).vtt 14.5 kB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.vtt 14.1 kB
  • 3. Collaborative Filtering/1. Collaborative Filtering Section Introduction.vtt 13.3 kB
  • 8. Appendix/5. How to Succeed in this Course (Long Version).vtt 13.1 kB
  • 2. Simple Recommendation Systems/15. PageRank (part 2).vtt 13.1 kB
  • 4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.vtt 12.9 kB
  • 8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....vtt 12.7 kB
  • 2. Simple Recommendation Systems/7. Problems with Average Rating _ Explore vs. Exploit (part 1).vtt 12.6 kB
  • 2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).vtt 12.5 kB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/9. Categorical RBM for Recommender System Ratings.vtt 12.3 kB
  • 3. Collaborative Filtering/3. Collaborative Filtering Exercise Prep.vtt 12.3 kB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.vtt 12.3 kB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/6. Training an RBM (part 1).vtt 12.0 kB
  • 8. Appendix/7. How to Code by Yourself (part 2).vtt 11.9 kB
  • 4. Matrix Factorization and Deep Learning/18. Autoencoders (AutoRec) Discussion.vtt 11.8 kB
  • 7. Basics Review/4. Confidence Intervals (Appendix).vtt 11.8 kB
  • 2. Simple Recommendation Systems/14. PageRank (part 1).vtt 11.6 kB
  • 4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.vtt 11.3 kB
  • 2. Simple Recommendation Systems/6. Reddit - Should censorship based on politics be allowed.vtt 10.4 kB
  • 3. Collaborative Filtering/6. Item-Item Collaborative Filtering.vtt 10.3 kB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.vtt 9.9 kB
  • 4. Matrix Factorization and Deep Learning/3. Matrix Factorization - Training.vtt 9.9 kB
  • 2. Simple Recommendation Systems/8. Problems with Average Rating _ Explore vs. Exploit (part 2).vtt 9.4 kB
  • 2. Simple Recommendation Systems/11. Bayesian Approach part 3 (Gaussian).vtt 9.2 kB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/2. Intro to RBMs.vtt 9.1 kB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.vtt 8.9 kB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/2. Setting up Spark in your Local Environment.vtt 8.8 kB
  • 4. Matrix Factorization and Deep Learning/12. Matrix Factorization in Keras (Discussion).vtt 8.6 kB
  • 4. Matrix Factorization and Deep Learning/4. Matrix Factorization - Expanding Our Model.vtt 8.6 kB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/1. Big Data and Spark Section Introduction.vtt 8.4 kB
  • 4. Matrix Factorization and Deep Learning/9. SVD (Singular Value Decomposition).vtt 8.4 kB
  • 2. Simple Recommendation Systems/5. Hacker News - Will you be penalized for talking about the NSA.vtt 8.2 kB
  • 7. Basics Review/1. Keras Discussion.vtt 8.2 kB
  • 4. Matrix Factorization and Deep Learning/13. Matrix Factorization in Keras (Code).vtt 8.2 kB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.vtt 8.1 kB
  • 2. Simple Recommendation Systems/13. Demographics and Supervised Learning.vtt 8.1 kB
  • 3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.vtt 7.7 kB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/3. Motivation Behind RBMs.vtt 7.7 kB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/5. Neural Network Equations.vtt 7.6 kB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/8. Training an RBM (part 3) - Free Energy.vtt 7.2 kB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/4. Spark Submit.vtt 7.1 kB
  • 4. Matrix Factorization and Deep Learning/10. Probabilistic Matrix Factorization.vtt 6.8 kB
  • 7. Basics Review/2. Keras Neural Network in Code.vtt 6.6 kB
  • 2. Simple Recommendation Systems/10. Bayesian Approach part 2 (Sampling and Ranking).vtt 6.6 kB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/7. Training an RBM (part 2).vtt 6.6 kB
  • 4. Matrix Factorization and Deep Learning/5. Matrix Factorization - Regularization.vtt 6.6 kB
  • 4. Matrix Factorization and Deep Learning/7. Matrix Factorization in Code.vtt 6.5 kB
  • 7. Basics Review/5. Gaussian Conjugate Prior (Appendix).vtt 6.4 kB
  • 3. Collaborative Filtering/8. Collaborative Filtering Section Conclusion.vtt 6.4 kB
  • 1. Welcome/3. Where to get the code.vtt 6.2 kB
  • 2. Simple Recommendation Systems/3. Basic Intuitions.vtt 6.1 kB
  • 4. Matrix Factorization and Deep Learning/11. Bayesian Matrix Factorization.vtt 6.0 kB
  • 1. Welcome/2. Outline of the course.vtt 6.0 kB
  • 8. Appendix/10. Python 2 vs Python 3.vtt 5.5 kB
  • 2. Simple Recommendation Systems/16. Evaluating a Ranking.vtt 5.3 kB
  • 2. Simple Recommendation Systems/4. Associations.vtt 5.1 kB
  • 4. Matrix Factorization and Deep Learning/1. Matrix Factorization Section Introduction.vtt 5.1 kB
  • 2. Simple Recommendation Systems/1. Section Introduction and Outline.vtt 4.9 kB
  • 7. Basics Review/3. Keras Functional API.vtt 4.8 kB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/11. RBM Code pt 2.vtt 4.7 kB
  • 2. Simple Recommendation Systems/2. Perspective for this Section.vtt 4.6 kB
  • 2. Simple Recommendation Systems/17. Section Conclusion.vtt 4.5 kB
  • 1. Welcome/1. Introduction.vtt 3.9 kB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/4. Intractability.vtt 3.4 kB
  • 8. Appendix/1. What is the Appendix.vtt 3.4 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 3.1 kB
  • 8. Appendix/11. BONUS Where to get discount coupons and FREE deep learning material.vtt 3.1 kB
  • 4. Matrix Factorization and Deep Learning/15. Deep Neural Network (Code).vtt 3.0 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 1.8 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

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