Machine Learning

Description

Machine Learning provides a comprehensive introduction to the fundamental concepts, algorithms, and applications of machine learning. The book explores supervised and unsupervised learning, decision trees, neural networks, Bayesian learning, reinforcement learning, and analytical methods for designing systems that improve through experience. Combining theoretical foundations with practical examples, it serves as a valuable resource for students, researchers, and professionals studying artificial intelligence and data-driven technologies.