Information Gain

Tutorial Slides by Andrew Moore

This tutorial steps through the ideas from Information Theory that eventually lead to Information Gain...one of the most popular measures of association currently used in data mining. We visit the ideas of Entropy and Conditional Entropy along the way. Look at the lecture on Gaussians for discussion of Entropy in the case of continuous probability density functions.

Download Tutorial Slides (PDF format)

Powerpoint Format: The Powerpoint originals of these slides are freely available to anyone who wishes to use them for their own work, or who wishes to teach using them in an academic institution. Please email Andrew Moore at awm@cs.cmu.edu if you would like him to send them to you. The only restriction is that they are not freely available for use as teaching materials in classes or tutorials outside degree-granting academic institutions.

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