دانلود کتاب الگوریتم‌های یادگیری ماشین، تئوری و عمل – راهنمای جامع عملی با پایتون

Machine Learning is a comprehensive guide designed to equip learners, educators, and practitioners with both foundational understanding and hands-on experience in the field of machine learning (ML). This book takes a structured, progressive approach—from core AI and ML principles to deep learning, natural language processing (NLP), and generative AI. Through detailed explanations, real-world examples, and step-by-step tutorials, readers gain the practical insights needed to build, train, evaluate, and deploy ML models confidently. Each chapter builds upon the last, ensuring conceptual clarity while expanding technical depth. Whether you’re a student preparing for AI certification exams or a developer looking to strengthen your ML knowledge, this book provides an all-in-one learning path to master the essentials and beyond.