| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction and Outline | |||
| 1. What's this course all about.en_US.srt | 5.2 KB | ||
| 1. What's this course all about.mp4 | 18.2 MB | ||
| 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request) | |||
| 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request) | |||
| 12 - Appendix FAQ Finale | |||
| 2 - The High-Level Picture | |||
| 3 - Bayes Rule and Probability Review | |||
| 10. The Monty Hall Problem.en_US.srt | 8.4 KB | ||
| 10. The Monty Hall Problem.mp4 | 15.8 MB | ||
| 11. Maximum Likelihood Estimation - Bernoulli.en_US.srt | 12.9 KB | ||
| 11. Maximum Likelihood Estimation - Bernoulli.mp4 | 24.4 MB | ||
| 12. Click-Through Rates (CTR).en_US.srt | 2.3 KB | ||
| 12. Click-Through Rates (CTR).mp4 | 5.2 MB | ||
| 13. Maximum Likelihood Estimation - Gaussian (pt 1).en_US.srt | 11.4 KB | ||
| 13. Maximum Likelihood Estimation - Gaussian (pt 1).mp4 | 22.9 MB | ||
| 14. Maximum Likelihood Estimation - Gaussian (pt 2).en_US.srt | 9.2 KB | ||
| 14. Maximum Likelihood Estimation - Gaussian (pt 2).mp4 | 18 MB | ||
| 15. CDFs and Percentiles.en_US.srt | 10.1 KB | ||
| 15. CDFs and Percentiles.mp4 | 21.9 MB | ||
| 16. Probability Review in Code.en_US.srt | 11.3 KB | ||
| 16. Probability Review in Code.mp4 | 33 MB | ||
| 17. Probability Review Section Summary.en_US.srt | 6.4 KB | ||
| 17. Probability Review Section Summary.mp4 | 13.7 MB | ||
| 18. Remedial Statistics vs Machine Learning.en_US.srt | 8.2 KB | ||
| 18. Remedial Statistics vs Machine Learning.mp4 | 19.8 MB | ||
| 19. Suggestion Box.en_US.srt | 4.1 KB | ||
| 19. Suggestion Box.mp4 | 39.9 MB | ||
| 4 - Traditional A B Testing | |||
| 20. Confidence Intervals (pt 1) - Intuition.en_US.srt | 5.5 KB | ||
| 20. Confidence Intervals (pt 1) - Intuition.mp4 | 12.8 MB | ||
| 21. Confidence Intervals (pt 2) - Beginner Level.en_US.srt | 5.2 KB | ||
| 21. Confidence Intervals (pt 2) - Beginner Level.mp4 | 11.9 MB | ||
| 22. Confidence Intervals (pt 3) - Intermediate Level.en_US.srt | 11.3 KB | ||
| 22. Confidence Intervals (pt 3) - Intermediate Level.mp4 | 21.5 MB | ||
| 23. Confidence Intervals (pt 4) - Intermediate Level.en_US.srt | 12.1 KB | ||
| 23. Confidence Intervals (pt 4) - Intermediate Level.mp4 | 25.8 MB | ||
| 24. Confidence Intervals (pt 5) - Intermediate Level.en_US.srt | 10.8 KB | ||
| 24. Confidence Intervals (pt 5) - Intermediate Level.mp4 | 22.8 MB | ||
| 25. Colab Notebook.url | 102.4 B | ||
| 25. Confidence Intervals Code.en_US.srt | 6.5 KB | ||
| 25. Confidence Intervals Code.mp4 | 28.8 MB | ||
| 26. Hypothesis Testing - Examples.en_US.srt | 8.4 KB | ||
| 26. Hypothesis Testing - Examples.mp4 | 18.4 MB | ||
| 27. Statistical Significance.en_US.srt | 6.2 KB | ||
| 27. Statistical Significance.mp4 | 12.9 MB | ||
| 28. Hypothesis Testing - The API Approach.en_US.srt | 10.3 KB | ||
| 28. Hypothesis Testing - The API Approach.mp4 | 26 MB | ||
| 29. Hypothesis Testing - Accept Or Reject.en_US.srt | 2.6 KB | ||
| 29. Hypothesis Testing - Accept Or Reject.mp4 | 6.9 MB | ||
| 30. Hypothesis Testing - Further Examples.en_US.srt | 5.7 KB | ||
| 30. Hypothesis Testing - Further Examples.mp4 | 13.6 MB | ||
| 31. Z-Test Theory (pt 1).en_US.srt | 9.2 KB | ||
| 31. Z-Test Theory (pt 1).mp4 | 20.8 MB | ||
| 32. Z-Test Theory (pt 2).en_US.srt | 9 KB | ||
| 32. Z-Test Theory (pt 2).mp4 | 16.9 MB | ||
| 33. Colab Notebook.url | 102.4 B | ||
| 33. Z-Test Code (pt 1).en_US.srt | 13.9 KB | ||
| 33. Z-Test Code (pt 1).mp4 | 84 MB | ||
| 34. Z-Test Code (pt 2).en_US.srt | 5.7 KB | ||
| 34. Z-Test Code (pt 2).mp4 | 34.2 MB | ||
| 35. A B Test Exercise.en_US.srt | 4.5 KB | ||
| 35. A B Test Exercise.mp4 | 8.6 MB | ||
| 36. Classical A B Testing Section Summary.en_US.srt | 11.5 KB | ||
| 36. Classical A B Testing Section Summary.mp4 | 25.4 MB | ||
| 5 - Bayesian A B Testing | |||
| 37. Section Introduction The Explore-Exploit Dilemma.en_US.srt | 11.9 KB | ||
| 37. Section Introduction The Explore-Exploit Dilemma.mp4 | 28.1 MB | ||
| 38. Applications of the Explore-Exploit Dilemma.en_US.srt | 9.3 KB | ||
| 38. Applications of the Explore-Exploit Dilemma.mp4 | 25.6 MB | ||
| 39. Epsilon-Greedy Theory.en_US.srt | 8.3 KB | ||
| 39. Epsilon-Greedy Theory.mp4 | 16.3 MB | ||
| 40. Calculating a Sample Mean (pt 1).en_US.srt | 6.7 KB | ||
| 40. Calculating a Sample Mean (pt 1).mp4 | 12.9 MB | ||
| 41. Epsilon-Greedy Beginner's Exercise Prompt.en_US.srt | 5.7 KB | ||
| 41. Epsilon-Greedy Beginner's Exercise Prompt.mp4 | 20.4 MB | ||
| 42. Designing Your Bandit Program.en_US.srt | 4.9 KB | ||
| 42. Designing Your Bandit Program.mp4 | 16.4 MB | ||
| 43. Epsilon-Greedy in Code.en_US.srt | 7.5 KB | ||
| 43. Epsilon-Greedy in Code.mp4 | 30.7 MB | ||
| 44. Comparing Different Epsilons.en_US.srt | 5.9 KB | ||
| 44. Comparing Different Epsilons.mp4 | 29.9 MB | ||
| 45. Optimistic Initial Values Theory.en_US.srt | 6.4 KB | ||
| 45. Optimistic Initial Values Theory.mp4 | 13.3 MB | ||
| 46. Optimistic Initial Values Beginner's Exercise Prompt.en_US.srt | 2.6 KB | ||
| 46. Optimistic Initial Values Beginner's Exercise Prompt.mp4 | 9.5 MB | ||
| 47. Optimistic Initial Values Code.en_US.srt | 4.5 KB | ||
| 47. Optimistic Initial Values Code.mp4 | 14.6 MB | ||
| 48. UCB1 Theory.en_US.srt | 17.8 KB | ||
| 48. UCB1 Theory.mp4 | 32.7 MB | ||
| 49. UCB1 Beginner's Exercise Prompt.en_US.srt | 2.4 KB | ||
| 49. UCB1 Beginner's Exercise Prompt.mp4 | 7.4 MB | ||
| 50. UCB1 Code.en_US.srt | 3.4 KB | ||
| 50. UCB1 Code.mp4 | 14.9 MB | ||
| 51. Bayesian Bandits Thompson Sampling Theory (pt 1).en_US.srt | 15.1 KB | ||
| 51. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 | 31.9 MB | ||
| 52. Bayesian Bandits Thompson Sampling Theory (pt 2).en_US.srt | 20.7 KB | ||
| 52. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 | 42.8 MB | ||
| 53. Thompson Sampling Beginner's Exercise Prompt.en_US.srt | 3.1 KB | ||
| 53. Thompson Sampling Beginner's Exercise Prompt.mp4 | 15.7 MB | ||
| 54. Thompson Sampling Code.en_US.srt | 5 KB | ||
| 54. Thompson Sampling Code.mp4 | 25.8 MB | ||
| 55. Thompson Sampling With Gaussian Reward Theory.en_US.srt | 13.3 KB | ||
| 55. Thompson Sampling With Gaussian Reward Theory.mp4 | 54.1 MB | ||
| 56. Thompson Sampling With Gaussian Reward Code.en_US.srt | 6.5 KB | ||
| 56. Thompson Sampling With Gaussian Reward Code.mp4 | 35.2 MB | ||
| 57. Exercise on Gaussian Rewards.en_US.srt | 1.4 KB | ||
| 57. Exercise on Gaussian Rewards.mp4 | 3.9 MB | ||
| 58. Why don't we just use a library.en_US.srt | 6.8 KB | ||
| 58. Why don't we just use a library.mp4 | 15.6 MB | ||
| 59. Nonstationary Bandits.en_US.srt | 8.6 KB | ||
| 59. Nonstationary Bandits.mp4 | 17.8 MB | ||
| 6 - Bayesian A B Testing Extension | |||
| 62. More about the Explore-Exploit Dilemma.en_US.srt | 8.8 KB | ||
| 62. More about the Explore-Exploit Dilemma.mp4 | 25.3 MB | ||
| 63. Confidence Interval Approximation vs. Beta Posterior.en_US.srt | 4.3 KB | ||
| 63. Confidence Interval Approximation vs. Beta Posterior.mp4 | 17.5 MB | ||
| 64. Adaptive Ad Server Exercise.en_US.srt | 6.6 KB | ||
| 64. Adaptive Ad Server Exercise.mp4 | 11.1 MB | ||
| 7 - Practice Makes Perfect | |||
| 1. Bayes Rule & Probability Review Quiz.html | 19.5 KB | ||
| 2. Traditional A B Testing Quiz.html | 19.9 KB | ||
| 3. Adaptive Methods Quiz.html | 22.5 KB | ||
| 65. Intro to Exercises on Conjugate Priors.en_US.srt | 6.9 KB | ||
| 65. Intro to Exercises on Conjugate Priors.mp4 | 16.9 MB | ||
| 66. Exercise Die Roll.en_US.srt | 2.9 KB | ||
| 66. Exercise Die Roll.mp4 | 6 MB | ||
| 67. The most important quiz of all - Obtaining an infinite amount of practice.en_US.srt | 10.9 KB | ||
| 67. The most important quiz of all - Obtaining an infinite amount of practice.mp4 | 52.5 MB | ||
| 8 - Appendix FAQ Intro | |||
| 68. What is the Appendix.en_US.srt | 5.3 KB | ||
| 68. What is the Appendix.mp4 | 15.5 MB | ||
| 9 - Setting Up Your Environment (FAQ by Student Request) | |||
| 69. Pre-Installation Check.en_US.srt | 5.7 KB | ||
| 69. Pre-Installation Check.mp4 | 13.1 MB | ||
| 70. Anaconda Environment Setup.en_US.srt | 17.7 KB | ||
| 70. Anaconda Environment Setup.mp4 | 309.1 MB | ||
| 71. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.en_US.srt | 13.4 KB | ||
| 71. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 | 192.3 MB | ||
| 60. Bandit Summary, Real Data, and Online Learning.en_US.srt | 7.5 KB | ||
| 60. Bandit Summary, Real Data, and Online Learning.mp4 | 17.1 MB | ||
| 61. (Optional) Alternative Bandit Designs.en_US.srt | 12.9 KB | ||
| 61. (Optional) Alternative Bandit Designs.mp4 | 34.1 MB | ||
| 6. Review Section Introduction.en_US.srt | 1.5 KB | ||
| 6. Review Section Introduction.mp4 | 3.5 MB | ||
| 7. Probability and Bayes' Rule Review.en_US.srt | 5.8 KB | ||
| 7. Probability and Bayes' Rule Review.mp4 | 11.8 MB | ||
| 8. Calculating Probabilities - Practice.en_US.srt | 11.5 KB | ||
| 8. Calculating Probabilities - Practice.mp4 | 28.1 MB | ||
| 9. The Gambler.en_US.srt | 6.5 KB | ||
| 9. The Gambler.mp4 | 15 MB | ||
| 4. Real-World Examples of A B Testing.en_US.srt | 8.4 KB | ||
| 4. Real-World Examples of A B Testing.mp4 | 20 MB | ||
| 5. What is Bayesian Machine Learning.en_US.srt | 13.9 KB | ||
| 5. What is Bayesian Machine Learning.mp4 | 30.7 MB | ||
| 80. BONUS.en_US.srt | 7.8 KB | ||
| 80. BONUS.mp4 | 58.4 MB | ||
| 76. How to Succeed in this Course (Long Version).en_US.srt | 13.1 KB | ||
| 76. How to Succeed in this Course (Long Version).mp4 | 23.8 MB | ||
| 77. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.en_US.srt | 28.3 KB | ||
| 77. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 | 60.5 MB | ||
| 78. Machine Learning and AI Prerequisite Roadmap (pt 1).en_US.srt | 14.6 KB | ||
| 78. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 | 118.8 MB | ||
| 79. Machine Learning and AI Prerequisite Roadmap (pt 2).en_US.srt | 20.9 KB | ||
| 79. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 | 136.6 MB | ||
| 72. How to Code by Yourself (part 1).en_US.srt | 20 KB | ||
| 72. How to Code by Yourself (part 1).mp4 | 93.7 MB | ||
| 73. How to Code by Yourself (part 2).en_US.srt | 11.7 KB | ||
| 73. How to Code by Yourself (part 2).mp4 | 29.4 MB | ||
| 74. Proof that using Jupyter Notebook is the same as not using it.en_US.srt | 12.7 KB | ||
| 74. Proof that using Jupyter Notebook is the same as not using it.mp4 | 108.7 MB | ||
| 75. Python 2 vs Python 3.en_US.srt | 5.5 KB | ||
| 75. Python 2 vs Python 3.mp4 | 10.5 MB | ||
| 2. Github Link.url | 102.4 B | ||
| 2. Where to get the code for this course.en_US.srt | 14.9 KB | ||
| 2. Where to get the code for this course.mp4 | 75.1 MB | ||
| 3. How to succeed in this course.en_US.srt | 3.9 KB | ||
| 3. How to succeed in this course.mp4 | 9 MB |
Bayesian Machine Learning in Python: A/B Testing
https://WebToolTip.com
Last updated 2/2026
Created by Lazy Programmer Inc., Lazy Programmer Team
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 80 Lectures ( 10h 26m ) | Size: 2.62 GB
Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More
What you'll learn
⚡ Use adaptive algorithms to improve A/B testing performance
⚡ Understand the difference between Bayesian and frequentist statistics
⚡ Apply Bayesian methods to A/B testing
Requirements
❗ Probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF)
❗ Python coding with the Numpy stack
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 665.4 MB | freecoursewb | 1 month | 10 | 5 | |
| 2.9 GB | freecoursewb | 2 years | 10 | 20 | |
| 2.6 GB | fcs0310 | 3 years | 0 | 0 | |
|
Udemy - Bayesian Machine Learning in Python: A/B Testing [Giga Course] Posted by
CourseClub in Other
|
2.6 GB | CourseClub | 3 years | 0 | 0 |
| 5.5 GB | tutplanet | 4 years | 0 | 0 |
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