By Miroslav Kubat
This e-book provides uncomplicated rules of laptop studying in a manner that's effortless to appreciate, by way of supplying hands-on sensible suggestion, utilizing uncomplicated examples, and motivating scholars with discussions of attention-grabbing functions. the most themes contain Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, choice bushes, neural networks, and help vector machines. Later chapters express the best way to mix those uncomplicated instruments in terms of “boosting,” the best way to take advantage of them in additional complex domain names, and the way to house assorted complex functional concerns. One bankruptcy is devoted to the preferred genetic algorithms.
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Extra resources for An Introduction to Machine Learning
An Introduction to Machine Learning by Miroslav Kubat