Machine Learning: Theory and Practice - Kalita, Jugal (University of Colorado) - Books - Taylor & Francis Ltd - 9780367433543 - December 21, 2022
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Machine Learning: Theory and Practice


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This book provides an introduction to the most popular methods in machine learning. It covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks including CNNs, reinforcement learning, and unsupervised learning focused on clustering.


304 pages

Media Books     Hardcover Book   (Book with hard spine and cover)
Released December 21, 2022
ISBN13 9780367433543
Publishers Taylor & Francis Ltd
Pages 282
Dimensions 240 × 163 × 24 mm   ·   558 g

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