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[FreeCourseSite.com] Udemy - Bayesian Machine Learning in Python AB Testing

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视频 2023-5-19 15:57 2024-5-25 05:18 95 853.27 MB 53
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文件列表
  1. 1. Introduction and Outline/1. What's this course all about.mp43.69MB
  2. 1. Introduction and Outline/2. Where to get the code for this course.mp42.04MB
  3. 1. Introduction and Outline/3. How to succeed in this course.mp45.53MB
  4. 2. Bayes Rule and Probability Review/1. Bayes Rule Review.mp414.65MB
  5. 2. Bayes Rule and Probability Review/2. Simple Probability Problem.mp43.24MB
  6. 2. Bayes Rule and Probability Review/3. The Monty Hall Problem.mp46.06MB
  7. 2. Bayes Rule and Probability Review/4. Imbalanced Classes.mp47.14MB
  8. 2. Bayes Rule and Probability Review/5. Maximum Likelihood - Mean of a Gaussian.mp47.6MB
  9. 2. Bayes Rule and Probability Review/6. Maximum Likelihood - Click-Through Rate.mp46.72MB
  10. 2. Bayes Rule and Probability Review/7. Confidence Intervals.mp415.37MB
  11. 2. Bayes Rule and Probability Review/8. What is the Bayesian Paradigm.mp49.9MB
  12. 3. Traditional AB Testing/1. AB Testing Problem Setup.mp46.93MB
  13. 3. Traditional AB Testing/10. Chi-Square Exercise.mp44.11MB
  14. 3. Traditional AB Testing/11. ABCD… Testing - The Bonferroni Correction.mp43.65MB
  15. 3. Traditional AB Testing/12. Statistical Power.mp44.79MB
  16. 3. Traditional AB Testing/13. AB Testing Pitfalls.mp46.26MB
  17. 3. Traditional AB Testing/14. Traditional AB Testing Summary.mp45.96MB
  18. 3. Traditional AB Testing/2. Simple AB Testing Recipe.mp47.83MB
  19. 3. Traditional AB Testing/3. P-Values.mp46.2MB
  20. 3. Traditional AB Testing/4. Test Characteristics, Assumptions, and Modifications.mp410.5MB
  21. 3. Traditional AB Testing/5. t-test in Code.mp45.89MB
  22. 3. Traditional AB Testing/6. t-test Exercise.mp48.59MB
  23. 3. Traditional AB Testing/7. 0.01 vs 0.011 - Why should we care.mp42.73MB
  24. 3. Traditional AB Testing/8. AB Test for Click-Through Rates (Chi-Square Test).mp49.4MB
  25. 3. Traditional AB Testing/9. CTR AB Test in Code.mp456.95MB
  26. 4. Bayesian AB Testing/1. Explore vs. Exploit.mp46.41MB
  27. 4. Bayesian AB Testing/10. Confidence Interval Approximation vs. Beta Posterior.mp411.59MB
  28. 4. Bayesian AB Testing/11. Adaptive Ad Server Exercise.mp49.46MB
  29. 4. Bayesian AB Testing/2. The Epsilon-Greedy Solution.mp44.72MB
  30. 4. Bayesian AB Testing/3. UCB1.mp47.25MB
  31. 4. Bayesian AB Testing/4. Conjugate Priors.mp411.1MB
  32. 4. Bayesian AB Testing/5. Bayesian AB Testing.mp46.56MB
  33. 4. Bayesian AB Testing/6. Bayesian AB Testing in Code.mp419.49MB
  34. 4. Bayesian AB Testing/7. The Online Nature of Bayesian AB Testing.mp44.09MB
  35. 4. Bayesian AB Testing/8. Finding a Threshold Without P-Values.mp47.72MB
  36. 4. Bayesian AB Testing/9. Thompson Sampling Convergence Demo.mp47.61MB
  37. 5. Practice Makes Perfect/1. Exercise Compare different strategies.mp43.28MB
  38. 5. Practice Makes Perfect/2. Intro to Exercises on Conjugate Priors.mp427.6MB
  39. 5. Practice Makes Perfect/3. Exercise Die Roll.mp43.97MB
  40. 5. Practice Makes Perfect/4. Exercise Gaussians.mp48.84MB
  41. 5. Practice Makes Perfect/5. Exercise Gaussian Implementation.mp47.99MB
  42. 6. Appendix/1. What is the Appendix.mp45.45MB
  43. 6. Appendix/10. Python 2 vs Python 3.mp47.84MB
  44. 6. Appendix/11. What order should I take your courses in (part 1).mp429.33MB
  45. 6. Appendix/12. What order should I take your courses in (part 2).mp437.63MB
  46. 6. Appendix/2. Windows-Focused Environment Setup 2018.mp4186.43MB
  47. 6. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.92MB
  48. 6. Appendix/4. How to Code by Yourself (part 1).mp424.54MB
  49. 6. Appendix/5. How to Code by Yourself (part 2).mp414.8MB
  50. 6. Appendix/6. How to Succeed in this Course (Long Version).mp412.61MB
  51. 6. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.95MB
  52. 6. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp478.29MB
  53. 6. Appendix/9. Where to get Udemy coupons and FREE deep learning material.mp44.03MB
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