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Dr. Mykel Kochenderfer

Mykel J. Kochenderfer is an Associate Professor of Aeronautics and Astronautics at Stanford University. He is the director of the Stanford Intelligent Systems Laboratory (SISL), conducting research on advanced algorithms and analytical methods for the design of robust decision making systems. He is also the director of the SAIL-Toyota Center for AI Research at Stanford and a co-director of the Center for AI Safety. He teaches courses on optimization, decision making under uncertainty, and the validation of autonomous systems. From 2006-2013, he was a member of the technical staff at Lincoln Laboratory in Group 42, where he remains as a consultant. He received a Ph.D. in informatics from the University of Edinburgh and B.S. and M.S. degrees in computer science from Stanford University. He is an author of the textbooks “Decision Making under Uncertainty: Theory and Application” and “Algorithms for Optimization”, both from MIT Press.

Courses taught by Dr. Mykel Kochenderfer

Artificial Intelligence Foundations

Artificial Intelligence Foundations

Self-paced

The course begins with a brief history of Artificial Intelligence (AI), including a survey of representative AI success stories and covers topics such as AI data requirements and conditioning, a selection of AI techniques including supervised learning, unsupervised learning and . . .

  • Free
  • Apr 06, 2022
  • Self-paced
  • Dr. Sarah Mcguire, Dr. Julie Mullen, Ms. Lauren Milechin, Dr. Vijay Gadepally, Dr. Charlie Dagli, Dr. Mykel Kochenderfer, Dr. Olga Simek, Dr. Rajmonda Caceres, Dr. Ryan Soklaski, Mr. David Martinez
  • Duration: Not Defined
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Artificial Intelligence Foundations

The course begins with a brief history of Artificial Intelligence (AI), including a survey of representative AI success stories and covers topics such as AI data requirements and conditioning, a selection of AI techniques including supervised learning, unsupervised learning and . . .

Duration: Not Defined Read More