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註釋"Machine learning involves the computational study of systems that improve their performance over time. Researchers come to this field with different goals: automating the construction of expert systems, searching for general principles of intelligence, and modeling the processes of human learning. This tutorial examines the main research areas in machine learning, some well-explored approaches to these areas, and some remaining open problems. It also relates this growing field to the rest of AI and discusses some beginning applications of machine learning methods"--page iii.