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An Introduction to Machine Learning

An Introduction to Machine Learning

Miroslav Kubat

66,22 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2016
Materia
Redes y comunicaciones informáticas
ISBN:
9783319348865
66,22 €
IVA incluido
Disponible

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Sobre IBD

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.

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Otros libros del autor

  • An Introduction to Machine Learning
    Miroslav Kubat
    This textbook offers a comprehensive introduction to Machine Learning techniques and algorithms. This Third Edition covers newer approaches that have become highly topical, including deep learning, and auto-encoding, introductory information about temporal learning and hidden Markov models, and a much more detailed treatment of reinforcement learning. The book is written in an ...