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[] Udemy - Bayesian Machine Learning in Python AB Testing

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文件列表

  1. 8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 186MB
  2. 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 78MB
  3. 5. Bayesian AB Testing/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 75MB
  4. 4. Traditional AB Testing/14. Z-Test Code (pt 1).mp4 68MB
  5. 5. Bayesian AB Testing/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 56MB
  6. 5. Bayesian AB Testing/12. UCB1 Theory.mp4 56MB
  7. 2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 55MB
  8. 3. Bayes Rule and Probability Review/11. Probability Review in Code.mp4 54MB
  9. 5. Bayesian AB Testing/1. Section Introduction The Explore-Exploit Dilemma.mp4 52MB
  10. 5. Bayesian AB Testing/24. (Optional) Alternative Bandit Designs.mp4 52MB
  11. 4. Traditional AB Testing/9. Hypothesis Testing - The API Approach.mp4 48MB
  12. 7. Practice Makes Perfect/3. The most important quiz of all - Obtaining an infinite amount of practice.mp4 47MB
  13. 5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.srt 47MB
  14. 5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.mp4 47MB
  15. 5. Bayesian AB Testing/19. Thompson Sampling With Gaussian Reward Theory.mp4 47MB
  16. 4. Traditional AB Testing/17. Classical AB Testing Section Summary.mp4 46MB
  17. 5. Bayesian AB Testing/8. Comparing Different Epsilons.mp4 44MB
  18. 8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 44MB
  19. 1. Introduction and Outline/3. How to succeed in this course.mp4 44MB
  20. 3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4 44MB
  21. 6. Bayesian AB Testing Extension/1. More about the Explore-Exploit Dilemma.mp4 44MB
  22. 5. Bayesian AB Testing/20. Thompson Sampling With Gaussian Reward Code.mp4 44MB
  23. 4. Traditional AB Testing/4. Confidence Intervals (pt 4) - Intermediate Level.mp4 43MB
  24. 3. Bayes Rule and Probability Review/3. Calculating Probabilities - Practice.mp4 42MB
  25. 5. Bayesian AB Testing/7. Epsilon-Greedy in Code.mp4 42MB
  26. 3. Bayes Rule and Probability Review/8. Maximum Likelihood Estimation - Gaussian (pt 1).mp4 41MB
  27. 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39MB
  28. 2. The High-Level Picture/1. Real-World Examples of AB Testing.mp4 39MB
  29. 3. Bayes Rule and Probability Review/10. CDFs and Percentiles.mp4 38MB
  30. 11. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 38MB
  31. 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 38MB
  32. 3. Bayes Rule and Probability Review/13. Beginners Fix Your Understanding of Statistics vs Machine Learning.mp4 37MB
  33. 4. Traditional AB Testing/5. Confidence Intervals (pt 5) - Intermediate Level.mp4 36MB
  34. 4. Traditional AB Testing/12. Z-Test Theory (pt 1).mp4 36MB
  35. 4. Traditional AB Testing/3. Confidence Intervals (pt 3) - Intermediate Level.mp4 35MB
  36. 5. Bayesian AB Testing/18. Thompson Sampling Code.mp4 33MB
  37. 4. Traditional AB Testing/6. Confidence Intervals Code.mp4 33MB
  38. 5. Bayesian AB Testing/23. Bandit Summary, Real Data, and Online Learning.mp4 33MB
  39. 4. Traditional AB Testing/7. Hypothesis Testing - Examples.mp4 33MB
  40. 4. Traditional AB Testing/12. Z-Test Theory (pt 1).srt 32MB
  41. 3. Bayes Rule and Probability Review/9. Maximum Likelihood Estimation - Gaussian (pt 2).mp4 32MB
  42. 5. Bayesian AB Testing/22. Nonstationary Bandits.mp4 31MB
  43. 4. Traditional AB Testing/13. Z-Test Theory (pt 2).mp4 30MB
  44. 1. Introduction and Outline/2. Where to get the code for this course.mp4 30MB
  45. 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 29MB
  46. 1. Introduction and Outline/1. What's this course all about.mp4 29MB
  47. 5. Bayesian AB Testing/5. Epsilon-Greedy Beginner's Exercise Prompt.mp4 29MB
  48. 4. Traditional AB Testing/15. Z-Test Code (pt 2).mp4 29MB
  49. 5. Bayesian AB Testing/3. Epsilon-Greedy Theory.mp4 29MB
  50. 3. Bayes Rule and Probability Review/5. The Monty Hall Problem.mp4 28MB
  51. 5. Bayesian AB Testing/21. Why don't we just use a library.mp4 28MB
  52. 7. Practice Makes Perfect/1. Intro to Exercises on Conjugate Priors.mp4 28MB
  53. 3. Bayes Rule and Probability Review/4. The Gambler.mp4 27MB
  54. 4. Traditional AB Testing/11. Hypothesis Testing - Further Examples.mp4 25MB
  55. 5. Bayesian AB Testing/11. Optimistic Initial Values Code.mp4 25MB
  56. 3. Bayes Rule and Probability Review/12. Probability Review Section Summary.mp4 25MB
  57. 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 25MB
  58. 4. Traditional AB Testing/8. Statistical Significance.mp4 24MB
  59. 5. Bayesian AB Testing/9. Optimistic Initial Values Theory.mp4 24MB
  60. 5. Bayesian AB Testing/4. Calculating a Sample Mean (pt 1).mp4 23MB
  61. 5. Bayesian AB Testing/6. Designing Your Bandit Program.mp4 23MB
  62. 4. Traditional AB Testing/1. Confidence Intervals (pt 1) - Intuition.mp4 23MB
  63. 3. Bayes Rule and Probability Review/2. Probability and Bayes' Rule Review.srt 22MB
  64. 3. Bayes Rule and Probability Review/2. Probability and Bayes' Rule Review.mp4 22MB
  65. 5. Bayesian AB Testing/14. UCB1 Code.mp4 21MB
  66. 4. Traditional AB Testing/2. Confidence Intervals (pt 2) - Beginner Level.mp4 19MB
  67. 5. Bayesian AB Testing/17. Thompson Sampling Beginner's Exercise Prompt.mp4 18MB
  68. 3. Bayes Rule and Probability Review/14. Suggestion Box.mp4 16MB
  69. 4. Traditional AB Testing/16. AB Test Exercise.mp4 16MB
  70. 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4 15MB
  71. 5. Bayesian AB Testing/10. Optimistic Initial Values Beginner's Exercise Prompt.mp4 14MB
  72. 4. Traditional AB Testing/10. Hypothesis Testing - Accept Or Reject.mp4 13MB
  73. 5. Bayesian AB Testing/13. UCB1 Beginner's Exercise Prompt.mp4 13MB
  74. 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4 13MB
  75. 6. Bayesian AB Testing Extension/2. Confidence Interval Approximation vs. Beta Posterior.mp4 12MB
  76. 3. Bayes Rule and Probability Review/7. Click-Through Rates (CTR).mp4 9MB
  77. 6. Bayesian AB Testing Extension/3. Adaptive Ad Server Exercise.mp4 9MB
  78. 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.mp4 8MB
  79. 3. Bayes Rule and Probability Review/1. Review Section Introduction.mp4 6MB
  80. 11. Appendix FAQ Finale/1. What is the Appendix.mp4 5MB
  81. 7. Practice Makes Perfect/2. Exercise Die Roll.mp4 4MB
  82. 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 32KB
  83. 5. Bayesian AB Testing/16. Bayesian Bandits Thompson Sampling Theory (pt 2).srt 24KB
  84. 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt 23KB
  85. 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).srt 23KB
  86. 8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.srt 20KB
  87. 5. Bayesian AB Testing/12. UCB1 Theory.srt 20KB
  88. 5. Bayesian AB Testing/15. Bayesian Bandits Thompson Sampling Theory (pt 1).srt 17KB
  89. 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt 16KB
  90. 4. Traditional AB Testing/14. Z-Test Code (pt 1).srt 16KB
  91. 2. The High-Level Picture/2. What is Bayesian Machine Learning.srt 15KB
  92. 5. Bayesian AB Testing/19. Thompson Sampling With Gaussian Reward Theory.srt 15KB
  93. 3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.srt 15KB
  94. 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).srt 15KB
  95. 5. Bayesian AB Testing/24. (Optional) Alternative Bandit Designs.srt 15KB
  96. 8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14KB
  97. 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.srt 14KB
  98. 4. Traditional AB Testing/4. Confidence Intervals (pt 4) - Intermediate Level.srt 14KB
  99. 3. Bayes Rule and Probability Review/3. Calculating Probabilities - Practice.srt 14KB
  100. 5. Bayesian AB Testing/1. Section Introduction The Explore-Exploit Dilemma.srt 14KB
  101. 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).srt 13KB
  102. 3. Bayes Rule and Probability Review/8. Maximum Likelihood Estimation - Gaussian (pt 1).srt 13KB
  103. 4. Traditional AB Testing/5. Confidence Intervals (pt 5) - Intermediate Level.srt 13KB
  104. 4. Traditional AB Testing/17. Classical AB Testing Section Summary.srt 13KB
  105. 4. Traditional AB Testing/3. Confidence Intervals (pt 3) - Intermediate Level.srt 13KB
  106. 7. Practice Makes Perfect/3. The most important quiz of all - Obtaining an infinite amount of practice.srt 13KB
  107. 3. Bayes Rule and Probability Review/11. Probability Review in Code.srt 12KB
  108. 4. Traditional AB Testing/9. Hypothesis Testing - The API Approach.srt 12KB
  109. 3. Bayes Rule and Probability Review/10. CDFs and Percentiles.srt 11KB
  110. 3. Bayes Rule and Probability Review/9. Maximum Likelihood Estimation - Gaussian (pt 2).srt 10KB
  111. 3. Bayes Rule and Probability Review/5. The Monty Hall Problem.srt 10KB
  112. 4. Traditional AB Testing/13. Z-Test Theory (pt 2).srt 10KB
  113. 6. Bayesian AB Testing Extension/1. More about the Explore-Exploit Dilemma.srt 10KB
  114. 5. Bayesian AB Testing/22. Nonstationary Bandits.srt 10KB
  115. 2. The High-Level Picture/1. Real-World Examples of AB Testing.srt 10KB
  116. 4. Traditional AB Testing/7. Hypothesis Testing - Examples.srt 9KB
  117. 5. Bayesian AB Testing/3. Epsilon-Greedy Theory.srt 9KB
  118. 3. Bayes Rule and Probability Review/13. Beginners Fix Your Understanding of Statistics vs Machine Learning.srt 9KB
  119. 5. Bayesian AB Testing/7. Epsilon-Greedy in Code.srt 8KB
  120. 5. Bayesian AB Testing/23. Bandit Summary, Real Data, and Online Learning.srt 8KB
  121. 1. Introduction and Outline/3. How to succeed in this course.srt 8KB
  122. 11. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt 8KB
  123. 7. Practice Makes Perfect/1. Intro to Exercises on Conjugate Priors.srt 8KB
  124. 3. Bayes Rule and Probability Review/4. The Gambler.srt 8KB
  125. 5. Bayesian AB Testing/21. Why don't we just use a library.srt 8KB
  126. 6. Bayesian AB Testing Extension/3. Adaptive Ad Server Exercise.srt 8KB
  127. 1. Introduction and Outline/2. Where to get the code for this course.srt 8KB
  128. 4. Traditional AB Testing/6. Confidence Intervals Code.srt 8KB
  129. 5. Bayesian AB Testing/4. Calculating a Sample Mean (pt 1).srt 7KB
  130. 3. Bayes Rule and Probability Review/12. Probability Review Section Summary.srt 7KB
  131. 5. Bayesian AB Testing/20. Thompson Sampling With Gaussian Reward Code.srt 7KB
  132. 5. Bayesian AB Testing/9. Optimistic Initial Values Theory.srt 7KB
  133. 4. Traditional AB Testing/8. Statistical Significance.srt 7KB
  134. 5. Bayesian AB Testing/8. Comparing Different Epsilons.srt 7KB
  135. 4. Traditional AB Testing/1. Confidence Intervals (pt 1) - Intuition.srt 7KB
  136. 4. Traditional AB Testing/15. Z-Test Code (pt 2).srt 6KB
  137. 5. Bayesian AB Testing/5. Epsilon-Greedy Beginner's Exercise Prompt.srt 6KB
  138. 4. Traditional AB Testing/11. Hypothesis Testing - Further Examples.srt 6KB
  139. 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.srt 6KB
  140. 1. Introduction and Outline/1. What's this course all about.srt 6KB
  141. 4. Traditional AB Testing/2. Confidence Intervals (pt 2) - Beginner Level.srt 6KB
  142. 5. Bayesian AB Testing/18. Thompson Sampling Code.srt 6KB
  143. 5. Bayesian AB Testing/6. Designing Your Bandit Program.srt 5KB
  144. 5. Bayesian AB Testing/11. Optimistic Initial Values Code.srt 5KB
  145. 4. Traditional AB Testing/16. AB Test Exercise.srt 5KB
  146. 6. Bayesian AB Testing Extension/2. Confidence Interval Approximation vs. Beta Posterior.srt 5KB
  147. 3. Bayes Rule and Probability Review/14. Suggestion Box.srt 5KB
  148. 11. Appendix FAQ Finale/1. What is the Appendix.srt 4KB
  149. 5. Bayesian AB Testing/14. UCB1 Code.srt 4KB
  150. 5. Bayesian AB Testing/17. Thompson Sampling Beginner's Exercise Prompt.srt 3KB
  151. 7. Practice Makes Perfect/2. Exercise Die Roll.srt 3KB
  152. 4. Traditional AB Testing/10. Hypothesis Testing - Accept Or Reject.srt 3KB
  153. 5. Bayesian AB Testing/10. Optimistic Initial Values Beginner's Exercise Prompt.srt 3KB
  154. 5. Bayesian AB Testing/13. UCB1 Beginner's Exercise Prompt.srt 3KB
  155. 3. Bayes Rule and Probability Review/7. Click-Through Rates (CTR).srt 3KB
  156. 3. Bayes Rule and Probability Review/1. Review Section Introduction.srt 2KB
  157. 0. Websites you may like/[FCS Forum].url 133B
  158. 0. Websites you may like/[FreeCourseSite.com].url 127B
  159. 0. Websites you may like/[CourseClub.ME].url 122B
  160. 1. Introduction and Outline/2.1 Github Link.html 120B