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[] Udemy - Recommender Systems and Deep Learning in Python

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文件列表

  1. 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 194MB
  2. 8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 167MB
  3. 3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 154MB
  4. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 129MB
  5. 8. Appendix/9. What order should I take your courses in (part 2).mp4 123MB
  6. 8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 117MB
  7. 3. Collaborative Filtering/4. Data Preprocessing.mp4 116MB
  8. 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 110MB
  9. 2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 107MB
  10. 4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 102MB
  11. 4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 97MB
  12. 8. Appendix/8. What order should I take your courses in (part 1).mp4 88MB
  13. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 83MB
  14. 8. Appendix/6. How to Code by Yourself (part 1).mp4 83MB
  15. 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 73MB
  16. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 70MB
  17. 3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 69MB
  18. 4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 69MB
  19. 7. Basics Review/2. Keras Neural Network in Code.mp4 66MB
  20. 4. Matrix Factorization and Deep Learning/13. Matrix Factorization in Keras (Code).mp4 64MB
  21. 3. Collaborative Filtering/2. User-User Collaborative Filtering.mp4 61MB
  22. 8. Appendix/7. How to Code by Yourself (part 2).mp4 57MB
  23. 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/4. Spark Submit.mp4 56MB
  24. 2. Simple Recommendation Systems/14. PageRank (part 1).mp4 55MB
  25. 2. Simple Recommendation Systems/6. Reddit - Should censorship based on politics be allowed.mp4 53MB
  26. 4. Matrix Factorization and Deep Learning/7. Matrix Factorization in Code.mp4 52MB
  27. 3. Collaborative Filtering/1. Collaborative Filtering Section Introduction.mp4 52MB
  28. 2. Simple Recommendation Systems/15. PageRank (part 2).mp4 50MB
  29. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/6. Training an RBM (part 1).mp4 49MB
  30. 4. Matrix Factorization and Deep Learning/18. Autoencoders (AutoRec) Discussion.mp4 49MB
  31. 2. Simple Recommendation Systems/13. Demographics and Supervised Learning.mp4 49MB
  32. 2. Simple Recommendation Systems/7. Problems with Average Rating _ Explore vs. Exploit (part 1).mp4 48MB
  33. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/9. Categorical RBM for Recommender System Ratings.mp4 48MB
  34. 3. Collaborative Filtering/6. Item-Item Collaborative Filtering.mp4 48MB
  35. 2. Simple Recommendation Systems/8. Problems with Average Rating _ Explore vs. Exploit (part 2).mp4 46MB
  36. 2. Simple Recommendation Systems/9. Bayesian Approach part 1 (Optional).mp4 45MB
  37. 3. Collaborative Filtering/3. Collaborative Filtering Exercise Prep.mp4 44MB
  38. 7. Basics Review/4. Confidence Intervals (Appendix).mp4 40MB
  39. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/11. RBM Code pt 2.mp4 40MB
  40. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/2. Intro to RBMs.mp4 39MB
  41. 8. Appendix/5. How to Succeed in this Course (Long Version).mp4 39MB
  42. 7. Basics Review/3. Keras Functional API.mp4 39MB
  43. 2. Simple Recommendation Systems/5. Hacker News - Will you be penalized for talking about the NSA.mp4 38MB
  44. 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/1. Big Data and Spark Section Introduction.mp4 36MB
  45. 2. Simple Recommendation Systems/16. Evaluating a Ranking.mp4 35MB
  46. 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/2. Setting up Spark in your Local Environment.mp4 35MB
  47. 1. Welcome/2. Outline of the course.mp4 34MB
  48. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/3. Motivation Behind RBMs.mp4 34MB
  49. 4. Matrix Factorization and Deep Learning/4. Matrix Factorization - Expanding Our Model.mp4 34MB
  50. 2. Simple Recommendation Systems/11. Bayesian Approach part 3 (Gaussian).mp4 33MB
  51. 4. Matrix Factorization and Deep Learning/9. SVD (Singular Value Decomposition).mp4 33MB
  52. 4. Matrix Factorization and Deep Learning/3. Matrix Factorization - Training.mp4 33MB
  53. 4. Matrix Factorization and Deep Learning/12. Matrix Factorization in Keras (Discussion).mp4 32MB
  54. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/5. Neural Network Equations.mp4 32MB
  55. 2. Simple Recommendation Systems/17. Section Conclusion.mp4 31MB
  56. 2. Simple Recommendation Systems/3. Basic Intuitions.mp4 31MB
  57. 2. Simple Recommendation Systems/4. Associations.mp4 30MB
  58. 3. Collaborative Filtering/8. Collaborative Filtering Section Conclusion.mp4 29MB
  59. 7. Basics Review/1. Keras Discussion.mp4 28MB
  60. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/8. Training an RBM (part 3) - Free Energy.mp4 28MB
  61. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/7. Training an RBM (part 2).mp4 27MB
  62. 2. Simple Recommendation Systems/1. Section Introduction and Outline.mp4 27MB
  63. 1. Welcome/3. Where to get the code.mp4 27MB
  64. 7. Basics Review/5. Gaussian Conjugate Prior (Appendix).mp4 25MB
  65. 4. Matrix Factorization and Deep Learning/15. Deep Neural Network (Code).mp4 25MB
  66. 2. Simple Recommendation Systems/10. Bayesian Approach part 2 (Sampling and Ranking).mp4 25MB
  67. 4. Matrix Factorization and Deep Learning/10. Probabilistic Matrix Factorization.mp4 23MB
  68. 4. Matrix Factorization and Deep Learning/5. Matrix Factorization - Regularization.mp4 22MB
  69. 1. Welcome/1. Introduction.mp4 22MB
  70. 4. Matrix Factorization and Deep Learning/11. Bayesian Matrix Factorization.mp4 21MB
  71. 8. Appendix/10. Python 2 vs Python 3.mp4 19MB
  72. 2. Simple Recommendation Systems/2. Perspective for this Section.mp4 18MB
  73. 8. Appendix/1. What is the Appendix.mp4 18MB
  74. 4. Matrix Factorization and Deep Learning/17. Residual Learning (Code).mp4 17MB
  75. 4. Matrix Factorization and Deep Learning/1. Matrix Factorization Section Introduction.mp4 17MB
  76. 4. Matrix Factorization and Deep Learning/14. Deep Neural Network (Discussion).mp4 15MB
  77. 8. Appendix/11. BONUS Where to get discount coupons and FREE deep learning material.mp4 13MB
  78. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/4. Intractability.mp4 13MB
  79. 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/6. Making Predictions in the Real World.mp4 11MB
  80. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/1. RBMs for Collaborative Filtering Section Introduction.mp4 10MB
  81. 4. Matrix Factorization and Deep Learning/16. Residual Learning (Discussion).mp4 8MB
  82. 4. Matrix Factorization and Deep Learning/6. Matrix Factorization - Exercise Prompt.mp4 4MB
  83. 8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 28KB
  84. 8. Appendix/9. What order should I take your courses in (part 2).vtt 20KB
  85. 8. Appendix/6. How to Code by Yourself (part 1).vtt 20KB
  86. 3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.vtt 19KB
  87. 3. Collaborative Filtering/4. Data Preprocessing.vtt 18KB
  88. 8. Appendix/2. Windows-Focused Environment Setup 2018.vtt 17KB
  89. 4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.vtt 17KB
  90. 3. Collaborative Filtering/2. User-User Collaborative Filtering.vtt 16KB
  91. 8. Appendix/8. What order should I take your courses in (part 1).vtt 14KB
  92. 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.vtt 14KB
  93. 3. Collaborative Filtering/1. Collaborative Filtering Section Introduction.vtt 13KB
  94. 8. Appendix/5. How to Succeed in this Course (Long Version).vtt 13KB
  95. 2. Simple Recommendation Systems/15. PageRank (part 2).vtt 13KB
  96. 4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.vtt 13KB
  97. 8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....vtt 12KB
  98. 2. Simple Recommendation Systems/7. Problems with Average Rating _ Explore vs. Exploit (part 1).vtt 12KB
  99. 2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).vtt 12KB
  100. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/9. Categorical RBM for Recommender System Ratings.vtt 12KB
  101. 3. Collaborative Filtering/3. Collaborative Filtering Exercise Prep.vtt 12KB
  102. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.vtt 12KB
  103. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/6. Training an RBM (part 1).vtt 12KB
  104. 8. Appendix/7. How to Code by Yourself (part 2).vtt 12KB
  105. 4. Matrix Factorization and Deep Learning/18. Autoencoders (AutoRec) Discussion.vtt 12KB
  106. 7. Basics Review/4. Confidence Intervals (Appendix).vtt 11KB
  107. 2. Simple Recommendation Systems/14. PageRank (part 1).vtt 11KB
  108. 4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.vtt 11KB
  109. 2. Simple Recommendation Systems/6. Reddit - Should censorship based on politics be allowed.vtt 10KB
  110. 3. Collaborative Filtering/6. Item-Item Collaborative Filtering.vtt 10KB
  111. 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.vtt 10KB
  112. 4. Matrix Factorization and Deep Learning/3. Matrix Factorization - Training.vtt 10KB
  113. 2. Simple Recommendation Systems/8. Problems with Average Rating _ Explore vs. Exploit (part 2).vtt 9KB
  114. 2. Simple Recommendation Systems/11. Bayesian Approach part 3 (Gaussian).vtt 9KB
  115. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/2. Intro to RBMs.vtt 9KB
  116. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.vtt 9KB
  117. 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/2. Setting up Spark in your Local Environment.vtt 9KB
  118. 4. Matrix Factorization and Deep Learning/12. Matrix Factorization in Keras (Discussion).vtt 8KB
  119. 4. Matrix Factorization and Deep Learning/4. Matrix Factorization - Expanding Our Model.vtt 8KB
  120. 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/1. Big Data and Spark Section Introduction.vtt 8KB
  121. 4. Matrix Factorization and Deep Learning/9. SVD (Singular Value Decomposition).vtt 8KB
  122. 2. Simple Recommendation Systems/5. Hacker News - Will you be penalized for talking about the NSA.vtt 8KB
  123. 7. Basics Review/1. Keras Discussion.vtt 8KB
  124. 4. Matrix Factorization and Deep Learning/13. Matrix Factorization in Keras (Code).vtt 8KB
  125. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.vtt 8KB
  126. 2. Simple Recommendation Systems/13. Demographics and Supervised Learning.vtt 8KB
  127. 3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.vtt 8KB
  128. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/3. Motivation Behind RBMs.vtt 8KB
  129. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/5. Neural Network Equations.vtt 7KB
  130. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/8. Training an RBM (part 3) - Free Energy.vtt 7KB
  131. 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/4. Spark Submit.vtt 7KB
  132. 4. Matrix Factorization and Deep Learning/10. Probabilistic Matrix Factorization.vtt 7KB
  133. 7. Basics Review/2. Keras Neural Network in Code.vtt 6KB
  134. 2. Simple Recommendation Systems/10. Bayesian Approach part 2 (Sampling and Ranking).vtt 6KB
  135. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/7. Training an RBM (part 2).vtt 6KB
  136. 4. Matrix Factorization and Deep Learning/5. Matrix Factorization - Regularization.vtt 6KB
  137. 4. Matrix Factorization and Deep Learning/7. Matrix Factorization in Code.vtt 6KB
  138. 7. Basics Review/5. Gaussian Conjugate Prior (Appendix).vtt 6KB
  139. 3. Collaborative Filtering/8. Collaborative Filtering Section Conclusion.vtt 6KB
  140. 1. Welcome/3. Where to get the code.vtt 6KB
  141. 2. Simple Recommendation Systems/3. Basic Intuitions.vtt 6KB
  142. 4. Matrix Factorization and Deep Learning/11. Bayesian Matrix Factorization.vtt 6KB
  143. 1. Welcome/2. Outline of the course.vtt 6KB
  144. 8. Appendix/10. Python 2 vs Python 3.vtt 5KB
  145. 2. Simple Recommendation Systems/16. Evaluating a Ranking.vtt 5KB
  146. 2. Simple Recommendation Systems/4. Associations.vtt 5KB
  147. 4. Matrix Factorization and Deep Learning/1. Matrix Factorization Section Introduction.vtt 5KB
  148. 2. Simple Recommendation Systems/1. Section Introduction and Outline.vtt 5KB
  149. 7. Basics Review/3. Keras Functional API.vtt 5KB
  150. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/11. RBM Code pt 2.vtt 5KB
  151. 2. Simple Recommendation Systems/2. Perspective for this Section.vtt 5KB
  152. 2. Simple Recommendation Systems/17. Section Conclusion.vtt 4KB
  153. 1. Welcome/1. Introduction.vtt 4KB
  154. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/4. Intractability.vtt 3KB
  155. 8. Appendix/1. What is the Appendix.vtt 3KB
  156. 4. Matrix Factorization and Deep Learning/14. Deep Neural Network (Discussion).vtt 3KB
  157. 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/6. Making Predictions in the Real World.vtt 3KB
  158. 8. Appendix/11. BONUS Where to get discount coupons and FREE deep learning material.vtt 3KB
  159. 4. Matrix Factorization and Deep Learning/15. Deep Neural Network (Code).vtt 3KB
  160. 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/1. RBMs for Collaborative Filtering Section Introduction.vtt 2KB
  161. 4. Matrix Factorization and Deep Learning/16. Residual Learning (Discussion).vtt 2KB
  162. 4. Matrix Factorization and Deep Learning/17. Residual Learning (Code).vtt 2KB
  163. 4. Matrix Factorization and Deep Learning/6. Matrix Factorization - Exercise Prompt.vtt 1KB
  164. [DesireCourse.Com].txt 754B
  165. [DesireCourse.Com].url 51B
  166. 2. Simple Recommendation Systems/9. Bayesian Approach part 1 (Optional).vtt 0B