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Lec 11 - Lecture 11 - Overfitting (May 8, 2012)

Lec 11 - Lecture 11 - Overfitting (May 8, 2012). Overfitting - Fitting the data too well; fitting the noise. Deterministic noise versus stochastic noise. Lecture 11 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunesu.itunes.apple.com/audit/CODBABB3ZC and on the course website - http://work.caltech.edu/telecourse.html

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Tags: Caltech Machine Learning course computer science data

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Duration: 79m 49s

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