Evolutionary computation

Related lectures (23)

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Delves into Pareto optimization techniques for generating system configurations and making decisions efficiently.

Explores the application of deep generative models in drug discovery, focusing on designing small molecules and optimizing molecular structures.

Explores the history and challenges of biologically inspired computation, focusing on building intelligent machines and understanding brain function.

Explores optimization methods in machine learning, emphasizing gradients, costs, and computational efforts for efficient model training.

Covers variance reduction techniques in optimization, focusing on gradient descent and stochastic gradient descent methods.

Explores double descent curves and overparametrization in machine learning models, highlighting the risks and benefits.

Explores abductive reasoning, search algorithms, and heuristic search for problem-solving.

Delves into life stories from an evolutionary viewpoint, covering gene-environment interactions, attachment theory, and gender differences.

By Eugene Shakhnovich explores fitness landscapes, mutations, and antibiotic resistance in evolutionary biology.

Explores solving Connect Four using game theory algorithms and compares Alpha-Beta pruning with Monte-Carlo tree search.