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Lecture2 - Machine Learning
This document summarizes the second lecture in an introduction to machine learning course. The lecture discusses the definition of machine learning as improving performance on a task through experience. It also covers why machine learning is increasingly appealing due to growing data and computational power. Examples of applying machine learning to data mining tasks like medical prediction are provided. The lecture concludes by discussing emerging areas for machine learning like semantic networks and individual recommender systems.
