Machine Learning Theory and Practice by Jugal Kumar Kalita (.ePUB)
File Size: 12.67 MB
Machine Learning Theory and Practice by Jugal Kumar Kalita
Requirements: .ePUB reader, 12.67 MB
Overview: 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.
Genre: Non-Fiction > Tech & Devices
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