[request_ebook] Machine Learning: Neural Networks, Genetic Algorithms, and Fuzzy Systems

Description

this book is about machine learning in AI. Machine learning is the subfield of AI that studies the automated acquisition of domain-specific knowledge. The goal of these systems is to improve their performance as the result of experience. Studies in this field include problem classification and decomposition, principals of intelligence, reasoning, and natural language processing. Machine learning can be looked at as a framework for doing AI research and development. Five main areas of machine learning are: analytic learning methods; neural network (connectionist) learning methods; genetic algorithms and classifier systems; empirical methods for inducing rules and decision trees; and case-based approaches to learning.

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