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start [2023/10/16 10:17] – [October] anderson | start [2023/12/07 09:17] (current) – external edit 127.0.0.1 | ||
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^ Week ^ Topic ^ Lecture Notes ^ Reading | ^ Week ^ Topic ^ Lecture Notes ^ Reading | ||
- | | Week 7:\\ Oct 3, 5 | Classification with QDA, LDA, and linear logistic regression. | + | | Week 7:\\ Oct 3, 5 | Classification with QDA, LDA, and linear logistic regression. |
| Week 8:\\ Oct 10, 12 | Classification with Nonlinear Logistic Regression. Introduction to Reinforcement Learning. | | Week 8:\\ Oct 10, 12 | Classification with Nonlinear Logistic Regression. Introduction to Reinforcement Learning. | ||
- | | Week 9:\\ Oct 17, 19 | Reinforcement learning. Learning to play games. | | [[https:// | + | | Week 9:\\ Oct 17, 19 | Reinforcement learning |
- | | Week 10:\\ Oct 24, 26 | Reinforcement | + | | Week 10:\\ Oct 24, 26 | Modular framework for reinforcement |
===== November ===== | ===== November ===== | ||
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^ Week ^ Topic ^ Lecture Notes ^ Reading | ^ Week ^ Topic ^ Lecture Notes ^ Reading | ||
- | | Week 11:\\ Oct 31 Nov 2 | Recurrent neural networks. | | | | + | | Week 11:\\ Oct 31 Nov 2 | Ray. Pytorch. |
- | | Week 12:\\ Nov 7, 9 | Unsupervised learning. Dimensionality reduction. Autoencorders. | | | | + | | Week 12:\\ Nov 7, 9 | Convolutional Neural Networks. Ensembles. | [[https:// |
- | | Week 13:\\ Nov 14, 16 | Clustering. | + | | Week 13:\\ Nov 14, 16 | Clustering. K-Nearest Neighbors. Jax. | [[https:// |
- | | Fall Break:\\ Nov 20-24 | No classes | + | | Fall Break:\\ Nov 20-24 | No classes. | |
- | | Week 14:\\ Nov 28, 30 | Ensemble methods. Mixture-of-experts. Transformers. | | | | + | | Week 14:\\ Nov 28, 30 | Support Vector Machines. Web Apps with Streamlit. Word Embeddings. | [[https:// |
===== December ===== | ===== December ===== | ||
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^ Week ^ Topic ^ Lecture Notes ^ Reading | ^ Week ^ Topic ^ Lecture Notes ^ Reading | ||
- | | Week 15:\\ Dec 5, 7 | Other topics in current research. | | [[https:// | + | | Week 15:\\ Dec 5, 7 | Transformers. | [[https:// |
- | | Dec 11-15 | Final Exam Week | No Exams in this course | + | Models Through the Problem They are Trained to Solve]] |
+ | | Dec 11-15 | Final Exam Week | No Exams in this course | ||
start.1697473057.txt.gz · Last modified: 2023/10/16 10:17 by anderson