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===== Announcements ===== | ===== Announcements ===== | ||
- | **January 25:** For Assignment 1 you must standardize the data in X. An update has been added to the assignment description. | + | **Feb 28:** In A3, my sample output had incorrect validation errors. |
- | **January 20:** Assignment 1 (A1) is now due Monday, January 30th, at 10 PM. | + | **Feb 27:** In the Schedule next to the A2 assignment you will find a link to good examples of reports submitted for A2. |
Lecture videos are available at this [[https:// | Lecture videos are available at this [[https:// | ||
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^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 3:\\ Jan 30 - Feb 3 | Probabilistic Linear Regression. Ridge regression. Data partitioning. On-line, incremental regression. Regression with fixed nonlinearities. | [[http:// | + | | Week 3:\\ Jan 30 - Feb 3 | Probabilistic Linear Regression. Ridge regression. Data partitioning. On-line, incremental regression. |
+ | | Week 4:\\ Feb 6 - Feb 10 | Regression with fixed nonlinearities. Nonlinear regression with neural networks.\\ Feb 10: Guest Speaker [[https:// | ||
+ | | Week 5:\\ Feb 13 - Feb 17 | Neural Networks | ||
+ | | Week 6:\\ Feb 20 - Feb 24 | Neural Networks. Autoencoders. Guest lectures by our GTA, Jake Lee. | [[http:// | ||
+ | | Week 7:\\ Feb 27 - Mar 3 | Recurrent Neural Networks. | ||