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Machine Learning

An Algorithmic Perspective, Second Edition

This bestseller helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation. Along with improved Python code, this second edition includes two new chapters on deep belief networks and Gaussian processes. It incorporates new material on the support vector machine, random forests, the perceptron convergence theorem, filters, and more. All of the code is available on the author's website.

Oktober 2014, 458 Seiten, Chapman & Hall/CRC Machine Learning & Pattern Recognition, Englisch
Taylor and Francis
978-1-4665-8328-3

Weitere Titel der Reihe: Chapman & Hall/CRC Machine Learning & Pattern Recognition

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