Lectures on Intelligent Systems (Hardcover, 1st ed. 2023)

This textbook provides the reader with an essential understanding of computational methods for intelligent systems. These are defined as systems that can solve problems autonomously, in particular problems where algorithmic solutions are inconceivable for humans or not practically executable by computers. Despite the rapidly growing applications in this field, the book avoids application details, instead focusing on computational methods that equip the reader with the methodological tools and competencies necessary to tackle current and future complex applications. The book consists of two parts: computational intelligence methods for optimization, and machine learning. Part I begins with the concept of optimization, and introduces local search algorithms, genetic algorithms, and particle swarm optimization. Part II begins with an introduction to machine learning and covers several methods, many of which can be used as supervised learning algorithms, such as decision tree learning, artificial neural networks, genetic programming, Bayesian learning, support vector machines, and ensemble methods, plus a discussion of unsupervised learning. This textbook is written in a self-contained style, suitable for undergraduate or graduate students in computer science and engineering, and for self-study by researchers and practitioners.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Natural Computing Series
Release date:	2023
First published:	2023
Authors:	Leonardo Vanneschi • Sara Silva
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	350
Edition:	1st ed. 2023
ISBN-13:	978-3-03-117921-1
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-117921-8
Barcode:	9783031179211

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