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allrmvbijgwzbayq – Read and download Ethem Alpaydin’s book Introduction to Machine Learning in PDF, EPub, Mobi, Kindle online. Book Introduction to Machine Learning by Ethem Alpaydin

Introduction to Machine Learning
by Ethem Alpaydin

Summary: A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks. The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such exciting new technologies as self-driving cars, speech recognition, and translation applications. This substantially revised fourth edition of a comprehensive, widely used machine learning textbook offers new coverage of recent advances in the field in both theory and practice, including developments in deep learning and neural networks. The book covers a broad array of topics not usually included in introductory machine learning texts, including supervised learning, Bayesian decision theory, parametric methods, semiparametric methods, nonparametric methods, multivariate analysis, hidden Markov models, reinforcement learning, kernel machines, graphical models, Bayesian estimation, and statistical testing. The fourth edition offers a new chapter on deep learning that discusses training, regularizing, and structuring deep neural networks such as convolutional and generative adversarial networks; new material in the chapter on reinforcement learning that covers the use of deep networks, the policy gradient methods, and deep reinforcement learning; new material in the chapter on multilayer perceptrons on autoencoders and the word2vec network; and discussion of a popular method of dimensionality reduction, t-SNE. New appendixes offer background material on linear algebra and optimization. End-of-chapter exercises help readers to apply concepts learned. Introduction to Machine Learning can be used in courses for advanced undergraduate and graduate students and as a reference for professionals. show more

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Product details Format Hardback | 712 pages Dimensions 203 x 229 x 37mm | 1,451.5g Publication date 24 Mar 2020 Publisher MIT Press Ltd Imprint MIT Press Publication City/Country Cambridge, United States Language English Edition New edition Edition Statement fourth edition Illustrations note 199 b&w illus.; 398 Illustrations, unspecified ISBN10 0262043793 ISBN13 9780262043793 Bestsellers rank 92,787

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