About The Book

Foundations of Machine Learning and Deep Networks provides a comprehensive introduction to machine learning, covering core principles, statistical learning, neural networks, deep learning, and reinforcement learning. The book balances theoretical foundations with practical insights, progressing from fundamental concepts like learning systems and decision trees to advanced topics such as deep neural architectures and reinforcement learning methods. Designed for students, researchers, and practitioners, it builds strong intuition and competence for applying ML techniques to real-world problems.