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An Introduction to Machine Learning (Hardcover, 3rd ed. 2021)
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An Introduction to Machine Learning (Hardcover, 3rd ed. 2021)
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Total price: R1,531
Discovery Miles: 15 310
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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.
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