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LM101-077: How to Choose the Best Model using BIC
In this 77th episode of , we explain the proper semantic interpretation of the Bayesian Information Criterion (BIC) and emphasize how this semantic interpretation is fundamentally different from AIC (Akaike Information C...
About This Episode
LM101-077: How to Choose the Best Model using BIC is an episode from Learning Machines 101 by Richard M. Golden. In this 77th episode of , we explain the proper semantic interpretation of the Bayesian Information Criterion (BIC) and emphasi...
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This episode belongs to Learning Machines 101.
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Published May 2, 2019, 24:15 long, audio available.
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