(ML 10.1) Bayesian Linear Regression
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14:53
(ML 10.2) Posterior for linear regression (part 1)
![](https://i.ytimg.com/vi/Z6HGJMUakmc/mqdefault.jpg)
16:28
Bayesian Linear Regression : Data Science Concepts
![](https://i.ytimg.com/vi/92-98SYOdlY/mqdefault.jpg)
1:53:32
ML Tutorial: Gaussian Processes (Richard Turner)
![](https://i.ytimg.com/vi/Q81RR3yKn30/mqdefault.jpg)
20:27
Regularization Part 1: Ridge (L2) Regression
![](https://i.ytimg.com/vi/NIqeFYUhSzU/mqdefault.jpg)
1:18:47
Introduction to Bayesian Statistics - A Beginner's Guide
![](https://i.ytimg.com/vi/UBDgSHPxVME/mqdefault.jpg)
23:47
Gaussian Processes
![](https://i.ytimg.com/vi/VQ1dxoopfEI/mqdefault.jpg)
31:31
The Battle of Polynomials | Towards Bayesian Regression
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15:30