An Introduction to Machine Learning

Author: Miroslav Kubat

SKU: 9783030819347 Category:
Quantity Discount Offer
Buy any 2 books Get 5% Off 5%
Buy any 3 books Get 7% Off 7%
Buy any 4 or more books Get 10% Off 10%
Sale!

£ 52.35

Out of stock

Description

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 easy-to-understand manner with many examples and pictures, and with a lot of practical advice and discussions of simple applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, rule-induction programs, artificial neural networks, support vector machines, boosting algorithms, unsupervised learning (including Kohonen networks and auto-encoding), deep learning, reinforcement learning, temporal learning (including long short-term memory), hidden Markov models, and the genetic algorithm. Special attention is devoted to performance evaluation, statistical assessment, and to many practical issues ranging from feature selection and feature construction to bias, context, multi-label domains, and the problem of imbalanced classes. show more

Additional information

Weight 864 g
Author

Miroslav Kubat

Publisher

Springer Nature Switzerland AG

Binding

Hardback

ISBN-10

3030819345

Dimensions

231 x 270 x 35

Language

English

Country of Pub

Switzerland

Book Condition

New

Notes

5 Illustrations, color; 109 Illustrations, black and white; XVIII, 458 p. 114 illus., 5 illus. in color.

Reviews

There are no reviews yet.

Only logged in customers who have purchased this product may leave a review.