Kubat Miroslav - An Introduction To Machine Learning - Hardcover

Binding: Hardcover
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.
Title: An Introduction To Machine Learning
Author(s): Kubat Miroslav
Publisher: Springer Nature Switzerland Ag
Barcode: 9783030819347
Pages: 458 Pages, 5 Illustrations, Color; 109 Illustrations, Black And White; Xviii, 458 P. 114 Illus., 5 I
Publication Date: 9/27/2021
Category: Artificial Intelligence