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Explore the concept of evolution as a stochastic algorithm in this 36-minute lecture by Michael M. Desai from Harvard University. Delve into the mathematical and probabilistic aspects of evolutionary processes, examining how random events shape genetic variations and population dynamics. Gain insights into the intersection of biology, mathematics, and computer science as you learn about the algorithmic nature of evolutionary mechanisms. Discover how stochastic models can be applied to understand and predict evolutionary outcomes in various biological systems.
