Page Summary: Overfitting and MLE, Point estimates and least squares, posterior and predictive distributions, model evidence; Okay so um I wanted to start today by um I'll probably uh start today by um considering uh basian
Mlai Lecture 9 3 Bayesian Linear Regression -
Overfitting and MLE, Point estimates and least squares, posterior and predictive distributions, model evidence; Okay so um I wanted to start today by um I'll probably uh start today by um considering uh basian Okay so the the point here is now this is in basically an example where
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- Overfitting and MLE, Point estimates and least squares, posterior and predictive distributions, model evidence;
- Okay so um I wanted to start today by um I'll probably uh start today by um considering uh basian
- Okay so the the point here is now this is in basically an example where
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