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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Introduction to Machine Learning
• Autor: Miroslav Kubat
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 291
• EAN: 9783319348865
• ISBN: 3319348868
• ID: 15193290
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 4686 g
• Rozměry: 235 × 155 × 15 mm
• Datum vydání: 15. October 2016

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