Gaussian Processes
author:
Carl Edward Rasmussen,
Max Planck Institute for Biological Cybernetics
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| Slides | |
| 0:01 | Gaussian Processes in Machine Learning |
| 1:36 | Gaussian Processes: Inference in function space |
| 4:25 | Why are Gaussian Process models interesting? |
| 7:28 | What are Gaussian Processes? |
| 11:50 | Introduction to Gaussian Processes |
| 13:11 | Bayesian Standard Linear Models |
| 19:17 | Bayesian Standard Linear Models II |
| 24:42 | Bayesian Linear Regression with Basis Functions |
| 29:22 | Function space view |
| 37:12 | Gaussian Process Prior and Posterior |
| 42:11 | Sampling from a prior and posterior Gaussian Process |
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This lecture series is extremely difficult to follow because background noise interferes with the lecturer's voice. The sound needs to be cleaned up a lot.
-Brian
I agree with the first comment. There is too much background noise for the lectures to be audible. It needs to be cleaned up.