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Machine Learning: Theory and Practice Kalita, Jugal (University of Colorado)
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Machine Learning: Theory and Practice
Kalita, Jugal (University of Colorado)
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.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | December 19, 2024 |
| ISBN13 | 9780367433529 |
| Publishers | Taylor & Francis Ltd |
| Pages | 282 |
| Dimensions | 150 × 220 × 10 mm · 453 g |
| Language | English |
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