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This lecture introduces the fundamental concepts of probability theory, focusing on random experiments, sample spaces, events, and operations on events. It covers definitions, probability calculations, conditional probability, independent events, and Bayes' formula. The instructor explains the importance of these concepts in statistical inference and machine learning.