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Data Mining: The Knowledge Discovery of Data

Analytics Vidhya

This data is fed back to the product owners, who can then use it to […] The post Data Mining: The Knowledge Discovery of Data appeared first on Analytics Vidhya. Introduction We are living in an era of massive data production.

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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). Domain Knowledge. The foremost step of this process is to possess relevant domain knowledge regarding the problem at hand. Data Mining Models.

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Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

Recently, we presented some basic insights from our effort to measure and predict long-term effects at KDD 2015 [1]. For example in ads, experiments using cookies (users) as experimental units are not suited to capture the impact of a treatment on advertisers or publishers nor their reaction to it.

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

The Unofficial Google Data Science Blog

In the examples above, we might use our estimates to choose ads, decide whether to show a user images, or figure out which videos to recommend. These decisions are often business-critical, so it is essential for data scientists to understand and improve the regressions that inform them. The size and importance of these systems makes this hard.

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