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[] Udemy - Bayesian Machine Learning in Python A

  • 收录时间:2022-08-01 02:36:22
  • 文件大小:3GB
  • 下载次数:1
  • 最近下载:2022-08-01 02:36:22
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文件列表

  1. 08 Setting Up Your Environment (FAQ by Student Request)/067 Windows-Focused Environment Setup 2018.mp4 186MB
  2. 09 Extra Help With Python Coding for Beginners (FAQ by Student Request)/071 Proof that using Jupyter Notebook is the same as not using it.mp4 78MB
  3. 05 Bayesian A_B Testing/052 Bayesian Bandits _ Thompson Sampling Theory (pt 2).mp4 75MB
  4. 04 Traditional A_B Testing/033 Z-Test Code (pt 1).mp4 68MB
  5. 05 Bayesian A_B Testing/051 Bayesian Bandits _ Thompson Sampling Theory (pt 1).mp4 56MB
  6. 05 Bayesian A_B Testing/048 UCB1 Theory.mp4 56MB
  7. 02 The High-Level Picture/005 What is Bayesian Machine Learning_.mp4 55MB
  8. 03 Bayes Rule and Probability Review/016 Probability Review in Code.mp4 54MB
  9. 05 Bayesian A_B Testing/037 Section Introduction_ The Explore-Exploit Dilemma.mp4 52MB
  10. 05 Bayesian A_B Testing/060 (Optional) Alternative Bandit Designs.mp4 52MB
  11. 04 Traditional A_B Testing/028 Hypothesis Testing - The API Approach.mp4 48MB
  12. 07 Practice Makes Perfect/066 The most important quiz of all - Obtaining an infinite amount of practice.mp4 47MB
  13. 05 Bayesian A_B Testing/038 Applications of the Explore-Exploit Dilemma.mp4 47MB
  14. 05 Bayesian A_B Testing/055 Thompson Sampling With Gaussian Reward Theory.mp4 47MB
  15. 04 Traditional A_B Testing/036 Classical A_B Testing Section Summary.mp4 46MB
  16. 05 Bayesian A_B Testing/044 Comparing Different Epsilons.mp4 44MB
  17. 08 Setting Up Your Environment (FAQ by Student Request)/068 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 44MB
  18. 01 Introduction and Outline/003 How to succeed in this course.mp4 44MB
  19. 03 Bayes Rule and Probability Review/011 Maximum Likelihood Estimation - Bernoulli.mp4 44MB
  20. 06 Bayesian A_B Testing Extension/061 More about the Explore-Exploit Dilemma.mp4 44MB
  21. 05 Bayesian A_B Testing/056 Thompson Sampling With Gaussian Reward Code.mp4 44MB
  22. 04 Traditional A_B Testing/023 Confidence Intervals (pt 4) - Intermediate Level.mp4 43MB
  23. 05 Bayesian A_B Testing/043 Epsilon-Greedy in Code.mp4 42MB
  24. 03 Bayes Rule and Probability Review/008 Calculating Probabilities - Practice.mp4 42MB
  25. 03 Bayes Rule and Probability Review/013 Maximum Likelihood Estimation - Gaussian (pt 1).mp4 41MB
  26. 10 Effective Learning Strategies for Machine Learning (FAQ by Student Request)/074 Is this for Beginners or Experts_ Academic or Practical_ Fast or slow-paced_.mp4 39MB
  27. 02 The High-Level Picture/004 Real-World Examples of A_B Testing.mp4 39MB
  28. 03 Bayes Rule and Probability Review/015 CDFs and Percentiles.mp4 38MB
  29. 11 Appendix _ FAQ Finale/078 BONUS_ Where to get Udemy coupons and FREE deep learning material.mp4 38MB
  30. 10 Effective Learning Strategies for Machine Learning (FAQ by Student Request)/076 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 38MB
  31. 03 Bayes Rule and Probability Review/018 Beginners_ Fix Your Understanding of Statistics vs Machine Learning.mp4 37MB
  32. 04 Traditional A_B Testing/024 Confidence Intervals (pt 5) - Intermediate Level.mp4 37MB
  33. 04 Traditional A_B Testing/031 Z-Test Theory (pt 1).mp4 36MB
  34. 04 Traditional A_B Testing/022 Confidence Intervals (pt 3) - Intermediate Level.mp4 35MB
  35. 05 Bayesian A_B Testing/054 Thompson Sampling Code.mp4 33MB
  36. 04 Traditional A_B Testing/025 Confidence Intervals Code.mp4 33MB
  37. 05 Bayesian A_B Testing/059 Bandit Summary, Real Data, and Online Learning.mp4 33MB
  38. 04 Traditional A_B Testing/026 Hypothesis Testing - Examples.mp4 33MB
  39. 03 Bayes Rule and Probability Review/014 Maximum Likelihood Estimation - Gaussian (pt 2).mp4 32MB
  40. 05 Bayesian A_B Testing/058 Nonstationary Bandits.mp4 31MB
  41. 04 Traditional A_B Testing/032 Z-Test Theory (pt 2).mp4 30MB
  42. 01 Introduction and Outline/002 Where to get the code for this course.mp4 30MB
  43. 10 Effective Learning Strategies for Machine Learning (FAQ by Student Request)/075 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 29MB
  44. 01 Introduction and Outline/001 What's this course all about_.mp4 29MB
  45. 05 Bayesian A_B Testing/041 Epsilon-Greedy Beginner's Exercise Prompt.mp4 29MB
  46. 04 Traditional A_B Testing/034 Z-Test Code (pt 2).mp4 29MB
  47. 05 Bayesian A_B Testing/039 Epsilon-Greedy Theory.mp4 29MB
  48. 03 Bayes Rule and Probability Review/010 The Monty Hall Problem.mp4 28MB
  49. 05 Bayesian A_B Testing/057 Why don't we just use a library_.mp4 28MB
  50. 07 Practice Makes Perfect/064 Intro to Exercises on Conjugate Priors.mp4 28MB
  51. 03 Bayes Rule and Probability Review/009 The Gambler.mp4 27MB
  52. 04 Traditional A_B Testing/030 Hypothesis Testing - Further Examples.mp4 25MB
  53. 05 Bayesian A_B Testing/047 Optimistic Initial Values Code.mp4 25MB
  54. 03 Bayes Rule and Probability Review/017 Probability Review Section Summary.mp4 25MB
  55. 09 Extra Help With Python Coding for Beginners (FAQ by Student Request)/069 How to Code by Yourself (part 1).mp4 25MB
  56. 04 Traditional A_B Testing/027 Statistical Significance.mp4 24MB
  57. 05 Bayesian A_B Testing/045 Optimistic Initial Values Theory.mp4 24MB
  58. 05 Bayesian A_B Testing/040 Calculating a Sample Mean (pt 1).mp4 23MB
  59. 05 Bayesian A_B Testing/042 Designing Your Bandit Program.mp4 23MB
  60. 04 Traditional A_B Testing/020 Confidence Intervals (pt 1) - Intuition.mp4 23MB
  61. 03 Bayes Rule and Probability Review/007 Probability and Bayes' Rule Review.mp4 22MB
  62. 05 Bayesian A_B Testing/050 UCB1 Code.mp4 21MB
  63. 04 Traditional A_B Testing/021 Confidence Intervals (pt 2) - Beginner Level.mp4 19MB
  64. 05 Bayesian A_B Testing/053 Thompson Sampling Beginner's Exercise Prompt.mp4 18MB
  65. 03 Bayes Rule and Probability Review/019 Suggestion Box.mp4 16MB
  66. 04 Traditional A_B Testing/035 A_B Test Exercise.mp4 16MB
  67. 09 Extra Help With Python Coding for Beginners (FAQ by Student Request)/070 How to Code by Yourself (part 2).mp4 15MB
  68. 05 Bayesian A_B Testing/046 Optimistic Initial Values Beginner's Exercise Prompt.mp4 14MB
  69. 04 Traditional A_B Testing/029 Hypothesis Testing - Accept Or Reject_.mp4 13MB
  70. 05 Bayesian A_B Testing/049 UCB1 Beginner's Exercise Prompt.mp4 13MB
  71. 10 Effective Learning Strategies for Machine Learning (FAQ by Student Request)/073 How to Succeed in this Course (Long Version).mp4 13MB
  72. 06 Bayesian A_B Testing Extension/062 Confidence Interval Approximation vs. Beta Posterior.mp4 12MB
  73. 03 Bayes Rule and Probability Review/012 Click-Through Rates (CTR).mp4 9MB
  74. 06 Bayesian A_B Testing Extension/063 Adaptive Ad Server Exercise.mp4 9MB
  75. 09 Extra Help With Python Coding for Beginners (FAQ by Student Request)/072 Python 2 vs Python 3.mp4 8MB
  76. 03 Bayes Rule and Probability Review/006 Review Section Introduction.mp4 6MB
  77. 11 Appendix _ FAQ Finale/077 What is the Appendix_.mp4 5MB
  78. 07 Practice Makes Perfect/065 Exercise_ Die Roll.mp4 4MB
  79. 10 Effective Learning Strategies for Machine Learning (FAQ by Student Request)/074 Is this for Beginners or Experts_ Academic or Practical_ Fast or slow-paced_.en.srt 33KB
  80. 05 Bayesian A_B Testing/052 Bayesian Bandits _ Thompson Sampling Theory (pt 2).en.srt 25KB
  81. 10 Effective Learning Strategies for Machine Learning (FAQ by Student Request)/076 Machine Learning and AI Prerequisite Roadmap (pt 2).en.srt 24KB
  82. 09 Extra Help With Python Coding for Beginners (FAQ by Student Request)/069 How to Code by Yourself (part 1).en.srt 24KB
  83. 08 Setting Up Your Environment (FAQ by Student Request)/067 Windows-Focused Environment Setup 2018.en.srt 21KB
  84. 05 Bayesian A_B Testing/048 UCB1 Theory.en.srt 21KB
  85. 05 Bayesian A_B Testing/051 Bayesian Bandits _ Thompson Sampling Theory (pt 1).en.srt 18KB
  86. 10 Effective Learning Strategies for Machine Learning (FAQ by Student Request)/075 Machine Learning and AI Prerequisite Roadmap (pt 1).en.srt 17KB
  87. 04 Traditional A_B Testing/033 Z-Test Code (pt 1).en.srt 16KB
  88. 02 The High-Level Picture/005 What is Bayesian Machine Learning_.en.srt 16KB
  89. 05 Bayesian A_B Testing/055 Thompson Sampling With Gaussian Reward Theory.en.srt 16KB
  90. 03 Bayes Rule and Probability Review/011 Maximum Likelihood Estimation - Bernoulli.en.srt 15KB
  91. 10 Effective Learning Strategies for Machine Learning (FAQ by Student Request)/073 How to Succeed in this Course (Long Version).en.srt 15KB
  92. 05 Bayesian A_B Testing/060 (Optional) Alternative Bandit Designs.en.srt 15KB
  93. 08 Setting Up Your Environment (FAQ by Student Request)/068 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.en.srt 15KB
  94. 09 Extra Help With Python Coding for Beginners (FAQ by Student Request)/071 Proof that using Jupyter Notebook is the same as not using it.en.srt 15KB
  95. 04 Traditional A_B Testing/023 Confidence Intervals (pt 4) - Intermediate Level.en.srt 15KB
  96. 03 Bayes Rule and Probability Review/008 Calculating Probabilities - Practice.en.srt 14KB
  97. 05 Bayesian A_B Testing/037 Section Introduction_ The Explore-Exploit Dilemma.en.srt 14KB
  98. 09 Extra Help With Python Coding for Beginners (FAQ by Student Request)/070 How to Code by Yourself (part 2).en.srt 14KB
  99. 03 Bayes Rule and Probability Review/013 Maximum Likelihood Estimation - Gaussian (pt 1).en.srt 13KB
  100. 04 Traditional A_B Testing/024 Confidence Intervals (pt 5) - Intermediate Level.en.srt 13KB
  101. 04 Traditional A_B Testing/036 Classical A_B Testing Section Summary.en.srt 13KB
  102. 04 Traditional A_B Testing/022 Confidence Intervals (pt 3) - Intermediate Level.en.srt 13KB
  103. 07 Practice Makes Perfect/066 The most important quiz of all - Obtaining an infinite amount of practice.en.srt 13KB
  104. 03 Bayes Rule and Probability Review/016 Probability Review in Code.en.srt 13KB
  105. 04 Traditional A_B Testing/028 Hypothesis Testing - The API Approach.en.srt 12KB
  106. 03 Bayes Rule and Probability Review/015 CDFs and Percentiles.en.srt 12KB
  107. 05 Bayesian A_B Testing/038 Applications of the Explore-Exploit Dilemma.en.srt 11KB
  108. 03 Bayes Rule and Probability Review/014 Maximum Likelihood Estimation - Gaussian (pt 2).en.srt 11KB
  109. 04 Traditional A_B Testing/031 Z-Test Theory (pt 1).en.srt 11KB
  110. 03 Bayes Rule and Probability Review/010 The Monty Hall Problem.en.srt 11KB
  111. 04 Traditional A_B Testing/032 Z-Test Theory (pt 2).en.srt 10KB
  112. 06 Bayesian A_B Testing Extension/061 More about the Explore-Exploit Dilemma.en.srt 10KB
  113. 05 Bayesian A_B Testing/058 Nonstationary Bandits.en.srt 10KB
  114. 02 The High-Level Picture/004 Real-World Examples of A_B Testing.en.srt 10KB
  115. 04 Traditional A_B Testing/026 Hypothesis Testing - Examples.en.srt 10KB
  116. 05 Bayesian A_B Testing/039 Epsilon-Greedy Theory.en.srt 10KB
  117. 03 Bayes Rule and Probability Review/018 Beginners_ Fix Your Understanding of Statistics vs Machine Learning.en.srt 10KB
  118. 05 Bayesian A_B Testing/043 Epsilon-Greedy in Code.en.srt 9KB
  119. 01 Introduction and Outline/003 How to succeed in this course.en.srt 9KB
  120. 05 Bayesian A_B Testing/059 Bandit Summary, Real Data, and Online Learning.en.srt 9KB
  121. 11 Appendix _ FAQ Finale/078 BONUS_ Where to get Udemy coupons and FREE deep learning material.en.srt 8KB
  122. 07 Practice Makes Perfect/064 Intro to Exercises on Conjugate Priors.en.srt 8KB
  123. 03 Bayes Rule and Probability Review/009 The Gambler.en.srt 8KB
  124. 05 Bayesian A_B Testing/057 Why don't we just use a library_.en.srt 8KB
  125. 06 Bayesian A_B Testing Extension/063 Adaptive Ad Server Exercise.en.srt 8KB
  126. 01 Introduction and Outline/002 Where to get the code for this course.en.srt 8KB
  127. 04 Traditional A_B Testing/025 Confidence Intervals Code.en.srt 8KB
  128. 03 Bayes Rule and Probability Review/017 Probability Review Section Summary.en.srt 8KB
  129. 05 Bayesian A_B Testing/040 Calculating a Sample Mean (pt 1).en.srt 8KB
  130. 05 Bayesian A_B Testing/056 Thompson Sampling With Gaussian Reward Code.en.srt 7KB
  131. 05 Bayesian A_B Testing/045 Optimistic Initial Values Theory.en.srt 7KB
  132. 04 Traditional A_B Testing/027 Statistical Significance.en.srt 7KB
  133. 05 Bayesian A_B Testing/044 Comparing Different Epsilons.en.srt 7KB
  134. 03 Bayes Rule and Probability Review/007 Probability and Bayes' Rule Review.en.srt 7KB
  135. 04 Traditional A_B Testing/020 Confidence Intervals (pt 1) - Intuition.en.srt 7KB
  136. 04 Traditional A_B Testing/034 Z-Test Code (pt 2).en.srt 7KB
  137. 05 Bayesian A_B Testing/041 Epsilon-Greedy Beginner's Exercise Prompt.en.srt 7KB
  138. 04 Traditional A_B Testing/030 Hypothesis Testing - Further Examples.en.srt 7KB
  139. 09 Extra Help With Python Coding for Beginners (FAQ by Student Request)/072 Python 2 vs Python 3.en.srt 6KB
  140. 01 Introduction and Outline/001 What's this course all about_.en.srt 6KB
  141. 04 Traditional A_B Testing/021 Confidence Intervals (pt 2) - Beginner Level.en.srt 6KB
  142. 05 Bayesian A_B Testing/054 Thompson Sampling Code.en.srt 6KB
  143. 05 Bayesian A_B Testing/042 Designing Your Bandit Program.en.srt 6KB
  144. 05 Bayesian A_B Testing/047 Optimistic Initial Values Code.en.srt 5KB
  145. 04 Traditional A_B Testing/035 A_B Test Exercise.en.srt 5KB
  146. 06 Bayesian A_B Testing Extension/062 Confidence Interval Approximation vs. Beta Posterior.en.srt 5KB
  147. 03 Bayes Rule and Probability Review/019 Suggestion Box.en.srt 5KB
  148. 11 Appendix _ FAQ Finale/077 What is the Appendix_.en.srt 4KB
  149. 05 Bayesian A_B Testing/050 UCB1 Code.en.srt 4KB
  150. 05 Bayesian A_B Testing/053 Thompson Sampling Beginner's Exercise Prompt.en.srt 4KB
  151. 07 Practice Makes Perfect/065 Exercise_ Die Roll.en.srt 3KB
  152. 04 Traditional A_B Testing/029 Hypothesis Testing - Accept Or Reject_.en.srt 3KB
  153. 05 Bayesian A_B Testing/046 Optimistic Initial Values Beginner's Exercise Prompt.en.srt 3KB
  154. 05 Bayesian A_B Testing/049 UCB1 Beginner's Exercise Prompt.en.srt 3KB
  155. 03 Bayes Rule and Probability Review/012 Click-Through Rates (CTR).en.srt 3KB
  156. 03 Bayes Rule and Probability Review/006 Review Section Introduction.en.srt 2KB
  157. 0. Websites you may like/[CourseClub.Me].url 122B
  158. 03 Bayes Rule and Probability Review/0. Websites you may like/[CourseClub.Me].url 122B
  159. 03 Bayes Rule and Probability Review/[CourseClub.Me].url 122B
  160. 07 Practice Makes Perfect/0. Websites you may like/[CourseClub.Me].url 122B
  161. 07 Practice Makes Perfect/[CourseClub.Me].url 122B
  162. 10 Effective Learning Strategies for Machine Learning (FAQ by Student Request)/0. Websites you may like/[CourseClub.Me].url 122B
  163. 10 Effective Learning Strategies for Machine Learning (FAQ by Student Request)/[CourseClub.Me].url 122B
  164. [CourseClub.Me].url 122B
  165. 01 Introduction and Outline/external-assets-links.txt 80B
  166. 0. Websites you may like/[GigaCourse.Com].url 49B
  167. 03 Bayes Rule and Probability Review/0. Websites you may like/[GigaCourse.Com].url 49B
  168. 03 Bayes Rule and Probability Review/[GigaCourse.Com].url 49B
  169. 07 Practice Makes Perfect/0. Websites you may like/[GigaCourse.Com].url 49B
  170. 07 Practice Makes Perfect/[GigaCourse.Com].url 49B
  171. 10 Effective Learning Strategies for Machine Learning (FAQ by Student Request)/0. Websites you may like/[GigaCourse.Com].url 49B
  172. 10 Effective Learning Strategies for Machine Learning (FAQ by Student Request)/[GigaCourse.Com].url 49B
  173. [GigaCourse.Com].url 49B