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03. Recommendations Item-based Recommendations/08. Demo Recommendations.wmv 12.98 MB
04. Personalized Recommendations Naive Bayesian Classifier/05. Demo Capturing user Likes Dislikes.wmv 10.7 MB
05. Finding Groups k-means Clustering/10. Demo Implementing k-means.wmv 9.32 MB
04. Personalized Recommendations Naive Bayesian Classifier/08. Demo Sorting and Displaying Recommendations.wmv 9.19 MB
01. Instrumentation Streaming Metrics/03. Quantiles with QDigest.wmv 8.59 MB
04. Personalized Recommendations Naive Bayesian Classifier/03. Demo Displaying Links.wmv 8.05 MB
04. Personalized Recommendations Naive Bayesian Classifier/07. Demo Implementing The Likelihoods Function.wmv 7.28 MB
better-software-through-measurement.zip 7.09 MB
03. Recommendations Item-based Recommendations/05. Demo Calculating Similarity Scores.wmv 6.99 MB
05. Finding Groups k-means Clustering/09. Demo Implementing The Tanimoto Distance.wmv 5.35 MB
01. Instrumentation Streaming Metrics/01. Measure Everything.wmv 5.09 MB
01. Instrumentation Streaming Metrics/04. DEMO QDigest Implementation.wmv 4.74 MB
02. Optimizing Conversion A B Testing/02. The Basic Idea.wmv 4.73 MB
01. Instrumentation Streaming Metrics/02. DEMO Streaming Mean and Variance.wmv 4.6 MB
01. Instrumentation Streaming Metrics/06. DEMO Quantile Implementation.wmv 4.59 MB
02. Optimizing Conversion A B Testing/05. Demo Setting up A Content Experiment.wmv 4.56 MB
03. Recommendations Item-based Recommendations/06. Demo Top Similar Items.wmv 4.35 MB
05. Finding Groups k-means Clustering/07. Overview of k-means Clustering.wmv 4.3 MB
03. Recommendations Item-based Recommendations/04. Recommendation Algorithm and Item Similarity.wmv 4.27 MB
03. Recommendations Item-based Recommendations/03. The Fine Foods Data Set.wmv 4.07 MB
02. Optimizing Conversion A B Testing/06. Waiting for Results.wmv 3.85 MB
03. Recommendations Item-based Recommendations/09. Further Ideas and Summary.wmv 3.45 MB
05. Finding Groups k-means Clustering/02. Problem Discovering Groups.wmv 3.23 MB
05. Finding Groups k-means Clustering/03. Demo Getting A Friend List.wmv 3.19 MB
04. Personalized Recommendations Naive Bayesian Classifier/06. Implementing A Naive Bayesian Classifier.wmv 3.19 MB
05. Finding Groups k-means Clustering/11. Summary.wmv 2.92 MB
04. Personalized Recommendations Naive Bayesian Classifier/04. Naive Bayesian Classifier.wmv 2.9 MB
05. Finding Groups k-means Clustering/04. Demo Sports Teams in Common.wmv 2.84 MB
05. Finding Groups k-means Clustering/06. Demo Creating The Friend Matrix.wmv 2.76 MB
05. Finding Groups k-means Clustering/08. Tanimoto Distance.wmv 2.56 MB
02. Optimizing Conversion A B Testing/03. Introducing Google Content Experiments.wmv 2.32 MB
02. Optimizing Conversion A B Testing/07. Demo Estimating Sample Size.wmv 2.13 MB
04. Personalized Recommendations Naive Bayesian Classifier/02. Problem Personalized Links.wmv 2.13 MB
01. Instrumentation Streaming Metrics/05. Calculating Quantiles.wmv 2.12 MB
03. Recommendations Item-based Recommendations/07. Recommendations from Estimated Ratings.wmv 2 MB
04. Personalized Recommendations Naive Bayesian Classifier/09. Summary.wmv 1.97 MB
02. Optimizing Conversion A B Testing/08. Summary.wmv 1.96 MB
02. Optimizing Conversion A B Testing/04. Demo Defining A Goal.wmv 1.95 MB
01. Instrumentation Streaming Metrics/07. Summary.wmv 1.63 MB
05. Finding Groups k-means Clustering/05. Friend Versus Sports Team Matrix.wmv 1.25 MB
03. Recommendations Item-based Recommendations/02. Problem Show Suggested Products.wmv 1.17 MB
05. Finding Groups k-means Clustering/01. Introduction.wmv 1011.91 KB
04. Personalized Recommendations Naive Bayesian Classifier/01. Introduction.wmv 885.73 KB
03. Recommendations Item-based Recommendations/01. Introduction.wmv 636.33 KB
02. Optimizing Conversion A B Testing/01. Introduction.wmv 469.07 KB
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