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start [2017/01/30 08:38] 127.0.0.1 external edit |
start [2017/05/25 14:15] anderson [Announcements] |
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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. | ||
- | **January 20:** Assignment 1 (A1) is now due Monday, January 30th, at 10 PM. | + | Lecture videos will be available. |
- | Lecture videos | + | /* |
+ | are available at this [[https:// | ||
+ | */ | ||
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|< 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 | Nonparametric Classification Algorithms | ||
+ | |||
+ | ===== May ===== | ||
+ | |||
+ | |< 100% 10% 20% 30% 20% 20% >| | ||
+ | ^ Week ^ Topic ^ Material | ||
+ | | Week 15:\\ May 1 - May 5 | Brain-Computer Interfaces. | ||
+ | | Finals Week:\\ May 8 - May 11 | | ||