Название: An Introduction to Machine Learning Автор: Miroslav Kubat Издательство: Springer Год: 2015 Страниц: 291 Формат: PDF Размер: 12 Mb Язык: English
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.
Neural Networks and Statistical Learning Название: Neural Networks and Statistical Learning Автор: Ke-Lin Du, M. N. S. Swamy Издательство: Springer Год: 2014 Формат: PDF Страниц: 834 Для...
Pathways to Machine Learning and Soft Computing Название: Pathways to Machine Learning and Soft Computing Автор: Jyh-Horng Jeng, Jer-Guang Hsieh Издательство: EHGBooks ASIN: B07FHYXDYG Год:...
An Introduction to Machine Learning, 2nd Edition Название: An Introduction to Machine Learning, 2nd Edition Автор: Miroslav Kubat Издательство: Springer Год: 2017 Страниц: 348 Формат: PDF Размер: 10...
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An Introduction to Machine Learning 
