Machine Learning

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The textbook provides a thorough introduction to machine learning, a crucial domain within artificial intelligence. It is structured into three parts: the first covers fundamental concepts and linear models; the second delves into popular methods like decision trees and neural networks; and the third explores advanced topics such as feature selection and reinforcement learning. Each chapter is supplemented with exercises and suggested readings, encouraging readers to deepen their understanding of various machine learning techniques.