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Machine Learning: Theory and Practice PDF

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by Jugal Kumar Kalita| 19| English

About Machine Learning: Theory and Practice

“Machine Learning: Theory and Practice provides an introduction to the most popular methods in machine learning. The book covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks including Convolutional Neural Networks (CNNs), reinforcement learning, and unsupervised learning focused on clustering. Topics are introduced in a conceptual manner along with necessary mathematical details. The explanations are lucid, illustrated with figures and examples. For each machine learning method discussed, the book presents appropriate libraries in the R programming language along with programming examples”–

Detailed Information

Author:Jugal Kumar Kalita
ISBN:9780367433529
Language:English
File Size:19
Format:PDF
Price:FREE
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