Machine Intelligence: Learning, Inference, and Evolution (Hardback)Hamid Tizhoosh (author)
Hardback 450 Pages / Published: 26/03/2018
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This book will provide an introduction to machine learning, fuzzy systems and evolutionary algorithms for senior undergraduate students at universities and colleges as well as for practitioners. The text intends to cover major schemes, methods and algorithms in different aspects of machine intelligence including comprehensive introduction of intelligent techniques for the desired audience. Fuzzy systems, reinforcement learning, evolutionary algorithms and swarm intelligence will be covered along with neural networks, SVM, probability, decision trees and more. This will help to establish the notion that "intelligence" is more than "learning."
Publisher: Taylor & Francis Ltd
Number of pages: 450
Dimensions: 235 x 156 mm
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