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In this episode, we explore the question of what can computers do as well as what computers can't do using the Turing Machine argument. Specifically, we discuss the computational limits of computers and raise the question of whether such limits pertain to biological brains and other non-standard computing machines. This episode is dedicated to the memory of my mom, Sandy Golden. To learn more about Turing Machines, SuperTuring Machines, Hypercomputation, and my Mom, check out: www.learningmachines101.com
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In this episode, we explain the proper semantic interpretation of the Akaike Information Criterion (AIC) and the Generalized Akaike Information Criterion (GAIC) for the purpose of picking the best model for a given set of training data. The precise semantic interpretation of these model selection c…
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سلب مسئولیت: پادکست و آثار هنری تعبیه شده در این صفحه متعلق به Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E. است که متعلق به صاحب آن است و به Listen Notes، Inc وابسته یا تایید نشده است.
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