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Explore the fascinating intersection of machine learning and computational biology in this 94-minute lecture focusing on evolutionary principles and their applications. Delve into how evolutionary concepts are leveraged in computational approaches to understand biological systems, genetic variations, and molecular mechanisms. Learn about the mathematical frameworks and computational methods used to analyze evolutionary patterns, interpret genomic data, and predict biological outcomes through an evolutionary lens.
Evolution in Machine Learning and Computational Biology - Lecture 21