An Introduction to Machine Learning - download pdf or read online

By Miroslav Kubat

This booklet offers simple rules of desktop studying in a manner that's effortless to appreciate, by means of offering hands-on functional suggestion, utilizing uncomplicated examples, and motivating scholars with discussions of attention-grabbing purposes. the most issues comprise Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, determination timber, neural networks, and help vector machines. Later chapters exhibit the right way to mix those easy instruments when it comes to “boosting,” easy methods to take advantage of them in additional advanced domain names, and the way to accommodate various complicated sensible concerns. One bankruptcy is devoted to the preferred genetic algorithms.

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An Introduction to Machine Learning by Miroslav Kubat

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