Machine Learning by Jugal Kalita - 9780367433529

Machine LearningTheory and Practice\nAuthor(s): Jugal Kalita\nFormat: Paperback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Chapman & Hall/CRC\nISBN-13: 9780367433529, 978-0367433529\nSynopsis\nMachine 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. \n\nFeatures:\n\nProvides an easy-to-read presentation of commonly used machine learning algorithms in .