Learning Machines: The Evolution of AI and Predictive Models

This comprehensive book explores the dynamic world of Artificial Intelligence and Predictive Modelling, guiding readers through foundational concepts, historical evolution, machine learning algorithms, and data processing techniques. It highlights real-world applications across healthcare, finance, marketing, and autonomous systems, while addressing critical ethical challenges like bias and accountability. With in-depth case studies and discussions on future trends such as explainable AI and quantum computing, the book bridges theory and practice. Designed for students, researchers, and professionals, it offers valuable insights into how intelligent systems are transforming industries and shaping the future of decision-making, innovation, and human-AI collaboration.