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[DesireCourse.Net] Udemy - Bayesian Machine Learning in Python AB Testing

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种子名称: [DesireCourse.Net] Udemy - Bayesian Machine Learning in Python AB Testing
文件类型: 视频
文件数目: 57个文件
文件大小: 1.06 GB
收录时间: 2021-5-9 14:31
已经下载: 3
资源热度: 241
最近下载: 2024-12-21 14:51

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[DesireCourse.Net] Udemy - Bayesian Machine Learning in Python AB Testing.torrent
  • 1. Introduction and Outline/1. What's this course all about.mp43.7MB
  • 1. Introduction and Outline/2. Where to get the code for this course.mp42.03MB
  • 1. Introduction and Outline/3. How to succeed in this course.mp45.53MB
  • 2. The High-Level Picture/1. Real-World Examples of AB Testing.mp438.54MB
  • 2. The High-Level Picture/2. What is Bayesian Machine Learning.mp454.65MB
  • 3. Bayes Rule and Probability Review/1. Bayes Rule Review.mp414.66MB
  • 3. Bayes Rule and Probability Review/2. Simple Probability Problem.mp43.24MB
  • 3. Bayes Rule and Probability Review/3. The Monty Hall Problem.mp46.06MB
  • 3. Bayes Rule and Probability Review/4. Imbalanced Classes.mp47.14MB
  • 3. Bayes Rule and Probability Review/5. Maximum Likelihood - Mean of a Gaussian.mp47.59MB
  • 3. Bayes Rule and Probability Review/6. Maximum Likelihood - Click-Through Rate.mp46.73MB
  • 3. Bayes Rule and Probability Review/7. Confidence Intervals.mp415.36MB
  • 3. Bayes Rule and Probability Review/8. What is the Bayesian Paradigm.mp49.9MB
  • 4. Traditional AB Testing/1. AB Testing Problem Setup.mp46.93MB
  • 4. Traditional AB Testing/10. Chi-Square Exercise.mp44.11MB
  • 4. Traditional AB Testing/11. ABCD… Testing - The Bonferroni Correction.mp43.64MB
  • 4. Traditional AB Testing/12. Statistical Power.mp44.79MB
  • 4. Traditional AB Testing/13. AB Testing Pitfalls.mp46.26MB
  • 4. Traditional AB Testing/14. Traditional AB Testing Summary.mp45.97MB
  • 4. Traditional AB Testing/2. Simple AB Testing Recipe.mp47.83MB
  • 4. Traditional AB Testing/3. P-Values.mp46.21MB
  • 4. Traditional AB Testing/4. Test Characteristics, Assumptions, and Modifications.mp410.49MB
  • 4. Traditional AB Testing/5. t-test in Code.mp45.89MB
  • 4. Traditional AB Testing/6. t-test Exercise.mp48.58MB
  • 4. Traditional AB Testing/7. 0.01 vs 0.011 - Why should we care.mp42.73MB
  • 4. Traditional AB Testing/8. AB Test for Click-Through Rates (Chi-Square Test).mp49.4MB
  • 4. Traditional AB Testing/9. CTR AB Test in Code.mp456.95MB
  • 5. Bayesian AB Testing/1. Explore vs. Exploit.mp46.41MB
  • 5. Bayesian AB Testing/10. Thompson Sampling Convergence Demo.mp47.6MB
  • 5. Bayesian AB Testing/11. Confidence Interval Approximation vs. Beta Posterior.mp411.59MB
  • 5. Bayesian AB Testing/12. Adaptive Ad Server Exercise.mp49.46MB
  • 5. Bayesian AB Testing/2. More about the Explore-Exploit Dilemma.mp443.76MB
  • 5. Bayesian AB Testing/3. The Epsilon-Greedy Solution.mp415.27MB
  • 5. Bayesian AB Testing/4. UCB1.mp47.25MB
  • 5. Bayesian AB Testing/5. Conjugate Priors.mp411.11MB
  • 5. Bayesian AB Testing/6. Bayesian AB Testing.mp46.56MB
  • 5. Bayesian AB Testing/7. Bayesian AB Testing in Code.mp419.49MB
  • 5. Bayesian AB Testing/8. The Online Nature of Bayesian AB Testing.mp44.08MB
  • 5. Bayesian AB Testing/9. Finding a Threshold Without P-Values.mp47.71MB
  • 6. Practice Makes Perfect/1. Exercise Compare different strategies.mp43.28MB
  • 6. Practice Makes Perfect/2. Intro to Exercises on Conjugate Priors.mp427.6MB
  • 6. Practice Makes Perfect/3. Exercise Die Roll.mp43.97MB
  • 6. Practice Makes Perfect/4. Exercise Gaussians.mp48.83MB
  • 6. Practice Makes Perfect/5. Exercise Gaussian Implementation.mp47.99MB
  • 6. Practice Makes Perfect/6. The most important quiz of all - Obtaining an infinite amount of practice.mp449.93MB
  • 7. Appendix FAQ/1. What is the Appendix.mp45.45MB
  • 7. Appendix FAQ/10. What order should I take your courses in (part 1).mp429.32MB
  • 7. Appendix FAQ/11. What order should I take your courses in (part 2).mp437.62MB
  • 7. Appendix FAQ/12. BONUS Where to get Udemy coupons and FREE deep learning material.mp437.84MB
  • 7. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4186.43MB
  • 7. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.92MB
  • 7. Appendix FAQ/4. How to Code by Yourself (part 1).mp424.53MB
  • 7. Appendix FAQ/5. How to Code by Yourself (part 2).mp414.81MB
  • 7. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp412.61MB
  • 7. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.95MB
  • 7. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp478.28MB
  • 7. Appendix FAQ/9. Python 2 vs Python 3.mp47.83MB