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Better Software Through Measurement

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File Name
Size
03. Recommendations Item-based Recommendations/08. Demo Recommendations.wmv
13 MB
04. Personalized Recommendations Naive Bayesian Classifier/05. Demo Capturing user Likes Dislikes.wmv
11 MB
05. Finding Groups k-means Clustering/10. Demo Implementing k-means.wmv
9.3 MB
04. Personalized Recommendations Naive Bayesian Classifier/08. Demo Sorting and Displaying Recommendations.wmv
9.2 MB
01. Instrumentation Streaming Metrics/03. Quantiles with QDigest.wmv
8.6 MB
04. Personalized Recommendations Naive Bayesian Classifier/03. Demo Displaying Links.wmv
8.0 MB
04. Personalized Recommendations Naive Bayesian Classifier/07. Demo Implementing The Likelihoods Function.wmv
7.3 MB
better-software-through-measurement.zip
7.1 MB
03. Recommendations Item-based Recommendations/05. Demo Calculating Similarity Scores.wmv
7.0 MB
05. Finding Groups k-means Clustering/09. Demo Implementing The Tanimoto Distance.wmv
5.4 MB
01. Instrumentation Streaming Metrics/01. Measure Everything.wmv
5.1 MB
01. Instrumentation Streaming Metrics/04. DEMO QDigest Implementation.wmv
4.7 MB
02. Optimizing Conversion A B Testing/02. The Basic Idea.wmv
4.7 MB
01. Instrumentation Streaming Metrics/02. DEMO Streaming Mean and Variance.wmv
4.6 MB
01. Instrumentation Streaming Metrics/06. DEMO Quantile Implementation.wmv
4.6 MB
02. Optimizing Conversion A B Testing/05. Demo Setting up A Content Experiment.wmv
4.6 MB
03. Recommendations Item-based Recommendations/06. Demo Top Similar Items.wmv
4.3 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
4.3 MB
03. Recommendations Item-based Recommendations/03. The Fine Foods Data Set.wmv
4.1 MB
02. Optimizing Conversion A B Testing/06. Waiting for Results.wmv
3.8 MB
03. Recommendations Item-based Recommendations/09. Further Ideas and Summary.wmv
3.5 MB
05. Finding Groups k-means Clustering/02. Problem Discovering Groups.wmv
3.2 MB
05. Finding Groups k-means Clustering/03. Demo Getting A Friend List.wmv
3.2 MB
04. Personalized Recommendations Naive Bayesian Classifier/06. Implementing A Naive Bayesian Classifier.wmv
3.2 MB
05. Finding Groups k-means Clustering/11. Summary.wmv
2.9 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
2.8 MB
05. Finding Groups k-means Clustering/06. Demo Creating The Friend Matrix.wmv
2.8 MB
05. Finding Groups k-means Clustering/08. Tanimoto Distance.wmv
2.6 MB
02. Optimizing Conversion A B Testing/03. Introducing Google Content Experiments.wmv
2.3 MB
02. Optimizing Conversion A B Testing/07. Demo Estimating Sample Size.wmv
2.1 MB
04. Personalized Recommendations Naive Bayesian Classifier/02. Problem Personalized Links.wmv
2.1 MB
01. Instrumentation Streaming Metrics/05. Calculating Quantiles.wmv
2.1 MB
03. Recommendations Item-based Recommendations/07. Recommendations from Estimated Ratings.wmv
2.0 MB
04. Personalized Recommendations Naive Bayesian Classifier/09. Summary.wmv
2.0 MB
02. Optimizing Conversion A B Testing/08. Summary.wmv
2.0 MB
02. Optimizing Conversion A B Testing/04. Demo Defining A Goal.wmv
1.9 MB
01. Instrumentation Streaming Metrics/07. Summary.wmv
1.6 MB
05. Finding Groups k-means Clustering/05. Friend Versus Sports Team Matrix.wmv
1.2 MB
03. Recommendations Item-based Recommendations/02. Problem Show Suggested Products.wmv
1.2 MB
05. Finding Groups k-means Clustering/01. Introduction.wmv
1012 kB
04. Personalized Recommendations Naive Bayesian Classifier/01. Introduction.wmv
886 kB
03. Recommendations Item-based Recommendations/01. Introduction.wmv
636 kB
02. Optimizing Conversion A B Testing/01. Introduction.wmv
469 kB