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Fundamentals of Data Mining

Data Science 101

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Machine learning provides the technical basis for data mining.

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Variance and significance in large-scale online services

The Unofficial Google Data Science Blog

There are commercial sites which allow users to search for and purchase goods or book rooms they desire. References [1] Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike Meyer, “ Overlapping Experiment Infrastructure: More, Better, Faster Experimentation ”, Proceedings 16th Conference on Knowledge Discovery and Data Mining, Washington, DC

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Using Empirical Bayes to approximate posteriors for large "black box" estimators

The Unofficial Google Data Science Blog

Empirical Bayes methods find a prior such that when we add Poisson noise, we fit the distribution of our observed data. For an introduction to Empirical Bayes, see the paper [3] by Brad Efron (with more in his book [4]). In Figure 2, the red line shows a Gamma prior that leads to a good fit. How exactly should we model $G$?

KDD 40