How Does AI Work? : What are the Key Ingredients of an Al Brain (Al Model)? : How to Build an Al Brain with Data & Machine Learning (ML) Algorithm? / Marc M.H.

Bibliography: page 94.

"Vol 2: How Does AI Work?" by Marc M.H. is a beginner-friendly guide that explains the foundational mechanics and engineering workflows behind artificial intelligence without relying on complex mathematical jargon. The book describes the fundamental shift from traditional programming—where humans write rigid rules—to the machine learning paradigm, where algorithms analyze raw data to discover their own rules and build predictive models. It breaks down the core training framework of data collection, feature extraction, and iterative error correction, while clearly distinguishing between major learning methodologies like supervised, unsupervised, and reinforcement learning. Ultimately, the text provides readers with a conceptual understanding of how these systems perform essential AI tasks, such as classifying data into categories, using regression to predict numerical trends, and clustering unstructured information to find hidden patterns.