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Better Software Through Measurement

  • 收录时间:2018-06-13 18:17:32
  • 文件大小:185MB
  • 下载次数:62
  • 最近下载:2021-01-15 21:52:19
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文件列表

  1. 03. Recommendations Item-based Recommendations/08. Demo Recommendations.wmv 13MB
  2. 04. Personalized Recommendations Naive Bayesian Classifier/05. Demo Capturing user Likes Dislikes.wmv 11MB
  3. 05. Finding Groups k-means Clustering/10. Demo Implementing k-means.wmv 9MB
  4. 04. Personalized Recommendations Naive Bayesian Classifier/08. Demo Sorting and Displaying Recommendations.wmv 9MB
  5. 01. Instrumentation Streaming Metrics/03. Quantiles with QDigest.wmv 9MB
  6. 04. Personalized Recommendations Naive Bayesian Classifier/03. Demo Displaying Links.wmv 8MB
  7. 04. Personalized Recommendations Naive Bayesian Classifier/07. Demo Implementing The Likelihoods Function.wmv 7MB
  8. better-software-through-measurement.zip 7MB
  9. 03. Recommendations Item-based Recommendations/05. Demo Calculating Similarity Scores.wmv 7MB
  10. 05. Finding Groups k-means Clustering/09. Demo Implementing The Tanimoto Distance.wmv 5MB
  11. 01. Instrumentation Streaming Metrics/01. Measure Everything.wmv 5MB
  12. 01. Instrumentation Streaming Metrics/04. DEMO QDigest Implementation.wmv 5MB
  13. 02. Optimizing Conversion A B Testing/02. The Basic Idea.wmv 5MB
  14. 01. Instrumentation Streaming Metrics/02. DEMO Streaming Mean and Variance.wmv 5MB
  15. 01. Instrumentation Streaming Metrics/06. DEMO Quantile Implementation.wmv 5MB
  16. 02. Optimizing Conversion A B Testing/05. Demo Setting up A Content Experiment.wmv 5MB
  17. 03. Recommendations Item-based Recommendations/06. Demo Top Similar Items.wmv 4MB
  18. 05. Finding Groups k-means Clustering/07. Overview of k-means Clustering.wmv 4MB
  19. 03. Recommendations Item-based Recommendations/04. Recommendation Algorithm and Item Similarity.wmv 4MB
  20. 03. Recommendations Item-based Recommendations/03. The Fine Foods Data Set.wmv 4MB
  21. 02. Optimizing Conversion A B Testing/06. Waiting for Results.wmv 4MB
  22. 03. Recommendations Item-based Recommendations/09. Further Ideas and Summary.wmv 3MB
  23. 05. Finding Groups k-means Clustering/02. Problem Discovering Groups.wmv 3MB
  24. 05. Finding Groups k-means Clustering/03. Demo Getting A Friend List.wmv 3MB
  25. 04. Personalized Recommendations Naive Bayesian Classifier/06. Implementing A Naive Bayesian Classifier.wmv 3MB
  26. 05. Finding Groups k-means Clustering/11. Summary.wmv 3MB
  27. 04. Personalized Recommendations Naive Bayesian Classifier/04. Naive Bayesian Classifier.wmv 3MB
  28. 05. Finding Groups k-means Clustering/04. Demo Sports Teams in Common.wmv 3MB
  29. 05. Finding Groups k-means Clustering/06. Demo Creating The Friend Matrix.wmv 3MB
  30. 05. Finding Groups k-means Clustering/08. Tanimoto Distance.wmv 3MB
  31. 02. Optimizing Conversion A B Testing/03. Introducing Google Content Experiments.wmv 2MB
  32. 02. Optimizing Conversion A B Testing/07. Demo Estimating Sample Size.wmv 2MB
  33. 04. Personalized Recommendations Naive Bayesian Classifier/02. Problem Personalized Links.wmv 2MB
  34. 01. Instrumentation Streaming Metrics/05. Calculating Quantiles.wmv 2MB
  35. 03. Recommendations Item-based Recommendations/07. Recommendations from Estimated Ratings.wmv 2MB
  36. 04. Personalized Recommendations Naive Bayesian Classifier/09. Summary.wmv 2MB
  37. 02. Optimizing Conversion A B Testing/08. Summary.wmv 2MB
  38. 02. Optimizing Conversion A B Testing/04. Demo Defining A Goal.wmv 2MB
  39. 01. Instrumentation Streaming Metrics/07. Summary.wmv 2MB
  40. 05. Finding Groups k-means Clustering/05. Friend Versus Sports Team Matrix.wmv 1MB
  41. 03. Recommendations Item-based Recommendations/02. Problem Show Suggested Products.wmv 1MB
  42. 05. Finding Groups k-means Clustering/01. Introduction.wmv 1012KB
  43. 04. Personalized Recommendations Naive Bayesian Classifier/01. Introduction.wmv 886KB
  44. 03. Recommendations Item-based Recommendations/01. Introduction.wmv 636KB
  45. 02. Optimizing Conversion A B Testing/01. Introduction.wmv 469KB