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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Introduction to Machine Learning
• Author: Miroslav Kubat
• Language: English
• Binding: Paperback
• Number of pages: 291
• EAN: 9783319348865
• ISBN: 3319348868
• ID: 15193290
• Publisher: Springer International Publishing AG
• Weight: 4686 g
• Dimensions: 235 × 155 × 15 mm
• Date of publishing: 15. October 2016

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