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KDD 2020 Opens Call for Papers

Data Science 101

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Honestly, KDD has been promoting data science way before data science was even cool. KDD 2020 is a dual-track conference, offering distinct programming in research and applied data science. 1989 to be exact. The details are below.

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Fundamentals of Data Mining

Data Science 101

Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). It is used to extract information from the raw data in databases… “ Overview. Strong patterns, if found, will likely generalize to make accurate predictions on future data.

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Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

A/B testing is used widely in information technology companies to guide product development and improvements. Recently, we presented some basic insights from our effort to measure and predict long-term effects at KDD 2015 [1]. In this blog post, we summarize that paper and refer you to it for details. 2] Ron Kohavi, Randal M.

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

The Unofficial Google Data Science Blog

These decisions are often business-critical, so it is essential for data scientists to understand and improve the regressions that inform them. In our model, $theta$ doesn’t depend directly on $x$ — all the information in $x$ is captured in $t$. To make sure, and to improve our priors using information from nearby bins, we can smooth.

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