Machine Learning

Discover the fascinating world of machine learning with "Machine Learning" by Jugal Kumar Kalita, published by Taylor & Francis Ltd in 2024. This comprehensive guide spans 282 pages and serves as an essential introduction to the most popular methods in the field. Dive into key topics such as regression techniques, including regularization, and explore tree-based methods like Random Forests and Boosted Trees. Gain insights into Artificial Neural Networks, featuring Convolutional Neural Networks (CNNs), as well as the principles of reinforcement learning and unsupervised learning with a focus on clustering. Whether you're a beginner or looking to enhance your understanding, this book is a valuable resource for anyone interested in the science of machine learning.