Machine Learning

Thomas B. Schön

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Language: English

Published by Cambridge University Pr. Mär 2022, 2022

1108843603 / 9781108843607

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Neuware -This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statistical framework it covers a selection of supervised machine learning methods, from the most fundamental (k-NN, decision trees, linear and logistic regression) to more advanced methods (deep neural networks, support vector machines, Gaussian processes, random forests and boosting), plus commonly-used unsupervised methods (generative modeling, k-means, PCA, autoencoders and generative adversarial networks). Careful explanations and pseudo-code are presented for all methods. The authors maintain a focus on the fundamentals by drawing connections between methods and discussing general concepts such as loss functions, maximum likelihood, the bias-variance decomposition, ensemble averaging, kernels and the Bayesian approach along with generally useful tools such as regularization, cross validation, evaluation metrics and optimization methods. The final chapters offer practical advice for solving real-world supervised machine learning problems and on ethical aspects of modern machine learning. Englisch.

Seller Inventory # 9781108843607

Title
Machine Learning
Author
Thomas B. Schön
Publisher
Cambridge University Pr. Mär 2022
Publication year
2022
Condition
Neu
Binding
Buch
Language
English
ISBN 10
1108843603
ISBN 13
9781108843607
Item weight
857 grams
Dimensions
260x183x23 mm

Books-by-Floh

Paderborn, Germany

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