Machine Learing :
Kalita ,Jugal
Machine Learing : Theory and Practice / By Jugal Kalita - New York: CRC Press, 2023. - xv,282p.
Include Bibliography and Indexes.
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
9780367433543
Machine Learning --Explanation-based learning--Ensemble learning
Artificial Intelligence
Machine theory
006.31 / KAL-M
Machine Learing : Theory and Practice / By Jugal Kalita - New York: CRC Press, 2023. - xv,282p.
Include Bibliography and Indexes.
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
9780367433543
Machine Learning --Explanation-based learning--Ensemble learning
Artificial Intelligence
Machine theory
006.31 / KAL-M