Machine Learning

Discover the fascinating world of machine learning with "Machine Learning" by Jugal Kalita, published by Taylor & Francis Ltd in 2022. This comprehensive hardback edition spans 282 pages, offering a thorough introduction to the most popular methods in the field. Dive into essential topics such as regression techniques, including regularization, and explore tree-based methods like Random Forests and Boosted Trees. The book also delves into Artificial Neural Networks, featuring Convolutional Neural Networks (CNNs), as well as reinforcement learning and unsupervised learning with a focus on clustering. Whether you are a beginner or looking to deepen your understanding, this book is an invaluable resource for anyone interested in harnessing the power of machine learning.