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Learn about the fundamentals of linear classifiers and regressors in this introductory lecture that kicks off a comprehensive series on linear models. Explore the core concepts of this popular model family and discover how different learning algorithms interact with this essential hypothesis class. Gain valuable insights into the mathematical foundations and practical applications of linear models in machine learning and data science.
