A comprehensive 10-chapter eBook covering machine learning fundamentals, neural networks, NLP, computer vision, hands-on model building with Python, real-world applications, career paths, and the future of AI. Packed with practical code examples, framework comparisons (PyTorch, TensorFlow, scikit-learn), and actionable career advice. Perfect for beginners and intermediate learners ready to break into ML.