MLE, MAP and Bayesian Regression

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MLE, MAP and Bayesian Regression
  1. NPTEL-NOC IITM
  2. MLE
  3. MAP and Bayesian Regression
  4. Lecture - 92
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Комментарии
Автор

This lecture helped me to understand my confusing in understanding Bayesian Linear Regression. It comes from understanding from that the posterior in i-th uses a priori in (i+1)th . Thanks a lot

satellitesabunim
Автор

everytime touch shoulder means some information missing

trexmidnite
Автор

Very clearly explained. Thank you! Much appreciated!

sunilmathew
Автор

While this is clear, in the last 10 minutes, where the rules of probability are applied on Bayesian prediction, would require a little more. explanation...

divyateja