Machine Learning

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Focusing on the core aspects of artificial intelligence, this textbook provides a thorough introduction to machine learning. It is structured into three parts: the first covers fundamental concepts and linear models; the second explores widely used methods such as decision trees and neural networks; and the third delves into advanced topics like feature selection and reinforcement learning. Each chapter features exercises and additional reading suggestions, encouraging readers to deepen their understanding of the subject.