Feature Engineering

Feature engineering is the process of using domain knowledge of the data to create features that make machine learning algorithms work. Feature engineering is fundamental to the application of machine learning, and is both difficult and expensive. The need for manual feature engineering can be obviated by automated feature learning.

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http://www.kdnuggets.com/2015/08/kdd-cup-present-future.html

L´eon Bottou, Feature engineering

MLconf 2015 Seattle: What are some best practices in Feature Engineering?

An Introduction to Variable and Feature Selection

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