Worth: $119.00
(as of Dec 21, 2025 19:51:55 UTC – Particulars)
A considerably revised fourth version of a complete textbook, together with new protection of current advances in deep studying and neural networks.
The purpose of machine studying is to program computer systems to make use of instance knowledge or previous expertise to unravel a given drawback. Machine studying underlies such thrilling new applied sciences as self-driving automobiles, speech recognition, and translation functions. This considerably revised fourth version of a complete, extensively used machine studying textbook presents new protection of current advances within the subject in each concept and apply, together with developments in deep studying and neural networks.
The guide covers a broad array of matters not often included in introductory machine studying texts, together with supervised studying, Bayesian choice concept, parametric strategies, semiparametric strategies, nonparametric strategies, multivariate evaluation, hidden Markov fashions, reinforcement studying, kernel machines, graphical fashions, Bayesian estimation, and statistical testing. The fourth version presents a brand new chapter on deep studying that discusses coaching, regularizing, and structuring deep neural networks akin to convolutional and generative adversarial networks; new materials within the chapter on reinforcement studying that covers the usage of deep networks, the coverage gradient strategies, and deep reinforcement studying; new materials within the chapter on multilayer perceptrons on autoencoders and the word2vec community; and dialogue of a preferred methodology of dimensionality discount, t-SNE. New appendixes supply background materials on linear algebra and optimization. Finish-of-chapter workouts assist readers to use ideas realized. Introduction to Machine Studying can be utilized in programs for superior undergraduate and graduate college students and as a reference for professionals.
Writer : The MIT Press
Publication date : March 24 2020
Version : 4th ed.
Language : English
Print size : 712 pages
ISBN-10 : 0262043793
ISBN-13 : 978-0262043793
Merchandise weight : 1.46 kg
Dimensions : 20.96 x 3.86 x 23.5 cm
Finest Sellers Rank: #456,165 in Books (See Prime 100 in Books) #227 in Synthetic Intelligence Textbooks #525 in AI Machine Studying
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