Better Software Through Measurement

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BT种子基本信息

种子哈希：1869e257567127d77efc3f88f0c7ded00daf0c99
文档大小：194.3 MB
文档个数：45个文档
下载次数：320次
下载速度：极快
收录时间：2020-03-08
最近下载：2025-01-29
DMCA/屏蔽：DMCA/屏蔽

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文档列表

03. Recommendations Item-based Recommendations/08. Demo Recommendations.wmv 13.6 MB
04. Personalized Recommendations Naive Bayesian Classifier/05. Demo Capturing user Likes Dislikes.wmv 11.2 MB
05. Finding Groups k-means Clustering/10. Demo Implementing k-means.wmv 9.8 MB
04. Personalized Recommendations Naive Bayesian Classifier/08. Demo Sorting and Displaying Recommendations.wmv 9.6 MB
01. Instrumentation Streaming Metrics/03. Quantiles with QDigest.wmv 9.0 MB
04. Personalized Recommendations Naive Bayesian Classifier/03. Demo Displaying Links.wmv 8.4 MB
04. Personalized Recommendations Naive Bayesian Classifier/07. Demo Implementing The Likelihoods Function.wmv 7.6 MB
better-software-through-measurement.zip 7.4 MB
03. Recommendations Item-based Recommendations/05. Demo Calculating Similarity Scores.wmv 7.3 MB
05. Finding Groups k-means Clustering/09. Demo Implementing The Tanimoto Distance.wmv 5.6 MB
01. Instrumentation Streaming Metrics/01. Measure Everything.wmv 5.3 MB
01. Instrumentation Streaming Metrics/04. DEMO QDigest Implementation.wmv 5.0 MB
02. Optimizing Conversion A B Testing/02. The Basic Idea.wmv 5.0 MB
01. Instrumentation Streaming Metrics/02. DEMO Streaming Mean and Variance.wmv 4.8 MB
01. Instrumentation Streaming Metrics/06. DEMO Quantile Implementation.wmv 4.8 MB
02. Optimizing Conversion A B Testing/05. Demo Setting up A Content Experiment.wmv 4.8 MB
03. Recommendations Item-based Recommendations/06. Demo Top Similar Items.wmv 4.6 MB
05. Finding Groups k-means Clustering/07. Overview of k-means Clustering.wmv 4.5 MB
03. Recommendations Item-based Recommendations/04. Recommendation Algorithm and Item Similarity.wmv 4.5 MB
03. Recommendations Item-based Recommendations/03. The Fine Foods Data Set.wmv 4.3 MB
02. Optimizing Conversion A B Testing/06. Waiting for Results.wmv 4.0 MB
03. Recommendations Item-based Recommendations/09. Further Ideas and Summary.wmv 3.6 MB
05. Finding Groups k-means Clustering/02. Problem Discovering Groups.wmv 3.4 MB
05. Finding Groups k-means Clustering/03. Demo Getting A Friend List.wmv 3.3 MB
04. Personalized Recommendations Naive Bayesian Classifier/06. Implementing A Naive Bayesian Classifier.wmv 3.3 MB
05. Finding Groups k-means Clustering/11. Summary.wmv 3.1 MB
04. Personalized Recommendations Naive Bayesian Classifier/04. Naive Bayesian Classifier.wmv 3.0 MB
05. Finding Groups k-means Clustering/04. Demo Sports Teams in Common.wmv 3.0 MB
05. Finding Groups k-means Clustering/06. Demo Creating The Friend Matrix.wmv 2.9 MB
05. Finding Groups k-means Clustering/08. Tanimoto Distance.wmv 2.7 MB
02. Optimizing Conversion A B Testing/03. Introducing Google Content Experiments.wmv 2.4 MB
02. Optimizing Conversion A B Testing/07. Demo Estimating Sample Size.wmv 2.2 MB
04. Personalized Recommendations Naive Bayesian Classifier/02. Problem Personalized Links.wmv 2.2 MB
01. Instrumentation Streaming Metrics/05. Calculating Quantiles.wmv 2.2 MB
03. Recommendations Item-based Recommendations/07. Recommendations from Estimated Ratings.wmv 2.1 MB
04. Personalized Recommendations Naive Bayesian Classifier/09. Summary.wmv 2.1 MB
02. Optimizing Conversion A B Testing/08. Summary.wmv 2.1 MB
02. Optimizing Conversion A B Testing/04. Demo Defining A Goal.wmv 2.0 MB
01. Instrumentation Streaming Metrics/07. Summary.wmv 1.7 MB
05. Finding Groups k-means Clustering/05. Friend Versus Sports Team Matrix.wmv 1.3 MB
03. Recommendations Item-based Recommendations/02. Problem Show Suggested Products.wmv 1.2 MB
05. Finding Groups k-means Clustering/01. Introduction.wmv 1.0 MB
04. Personalized Recommendations Naive Bayesian Classifier/01. Introduction.wmv 907.0 kB
03. Recommendations Item-based Recommendations/01. Introduction.wmv 651.6 kB
02. Optimizing Conversion A B Testing/01. Introduction.wmv 480.3 kB

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