Tell your friends about this item:
Machine Learning: Theory and Practice Kalita, Jugal (University of Colorado)
Do you have a profile? Log in
Get notified about new Kalita, Jugal (University of Colorado) releases
Add to your iMusic wish list
Also available as:
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.
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 |
More from the same publisher
See all of Kalita, Jugal (University of Colorado) ( e.g. Paperback Book and Hardcover Book )