LM101-010: How to Learn Statistical Regularities (MAP and maximum likelihood estimation) - a podcast by Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.

Learning Machines 101 - A Gentle Introduction to Artificial Intelligence and Machine Learning

Episode Summary: In this podcast episode, we discuss fundamental principles of learning in statistical environments including the design of learning machines that can use prior knowledge to facilitate and guide the learning of statistical regularities. Show Notes: Hello everyone! Welcome to the tenth podcast in the podcast series Learning Machines 101. In this series of podcasts my goal. Read More »

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Further episodes of Learning Machines 101

Further podcasts by Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.

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