Mastering Machine Learning

Mastering Machine Learning provides a comprehensive guide to the rapidly evolving field of machine learning. Designed for students, practitioners, and enthusiasts alike, this book covers the foundational concepts, explores cutting-edge methodologies, and delves into real-world applications. From traditional supervised and unsupervised learning to the depth of neural networks and advanced techniques like federated and quantum learning, the book is a roadmap for building effective, ethical, and scalable machine learning systems. With a strong emphasis on both theory and practice, it bridges the gap between academic concepts and industry implementation.