An Introduction to Machine Learning

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Название:An Introduction to Machine Learning

Автор Kubat, Miroslav

Издательство: Springer

Год: 2015

Страниц:291

Язык: English

Формат: pdf

Размер: 4 Mb

Supplies frequent opportunities to practice techniques at the end of each chapter with control questions, exercises, thought experiments, and computer assignments

Reinforces principles using well-selected toy domains and interesting real-world applications

Supplementary material will be provided including an instructor's manual with PowerPoint slides

This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting,” how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms.