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Machine Learning: Theory and Practice
Machine Learning: Theory and Practice
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- More about Machine Learning: Theory and Practice
Format: Paperback / softback
Length: 282 pages
Publication date: 19 December 2024
Publisher: Taylor & Francis Ltd
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.
Weight: 453g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367433529
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