This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
start [2017/01/30 08:38] 127.0.0.1 external edit |
start [2017/04/17 13:30] 127.0.0.1 external edit |
||
---|---|---|---|
Line 7: | Line 7: | ||
===== Announcements ===== | ===== Announcements ===== | ||
- | **January 25:** For Assignment 1 you must standardize the data in X. An update has been added to the assignment description. | + | **March 20:** A4grader.tar linked |
- | **January 20:** Assignment 1 (A1) is now due Monday, January 30th, at 10 PM. | + | **March 18:** There will be no lecture class on Wednesday, March 22nd. Chuck' |
Lecture videos are available at this [[https:// | Lecture videos are available at this [[https:// | ||
Line 26: | Line 26: | ||
|< 100% 10% 20% 30% 20% 20% >| | |< 100% 10% 20% 30% 20% 20% >| | ||
^ 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.\\ Conditional probabilities and Bayes Rule | ||
+ | |||
+ | ===== March ===== | ||
+ | |||
+ | |< 100% 10% 20% 30% 20% 20% >| | ||
+ | ^ Week ^ Topic ^ Material | ||
+ | | Week 8:\\ Mar 6 - Mar 10 | Classification. LDA and QDA. Linear | ||
+ | | Week 9:\\ Mar 20, Mar 24\\ <color red>No class March 22nd.</ | ||
+ | | Week 10:\\ Mar 27 - Mar 31 | Convolutional Neural Networks. Reinforcement Learning. | ||
+ | |||
+ | ===== April ===== | ||
+ | |||
+ | |< 100% 10% 20% 30% 20% 20% >| | ||
+ | ^ Week ^ Topic ^ Material | ||
+ | | Week 11:\\ Apr 3 - Apr 7 | Reinforcement Learning. | ||
+ | | Week 12:\\ Apr 10 - Apr 14 | Neural networks as Q functions. | ||
+ | | Week 13:\\ Apr 17 - Apr 21 | Unsupervised Learning. Dimensionality reduction. | ||
+ | | Week 14:\\ Apr 24 - Apr 28 | | | | [[http:// | ||
+ | |||
+ | ===== May ===== | ||
+ | |||
+ | |< 100% 10% 20% 30% 20% 20% >| | ||
+ | ^ Week ^ Topic ^ Material | ||
+ | | Week 15:\\ May 1 - May 5 | | | | | | ||
+ | | Finals Week:\\ May 8 - May 11 | | ||