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start [2023/10/26 15:58] – [November] anderson | start [2023/11/29 10:36] – [December] anderson | ||
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| 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 with Q Function as Neural Network. Learning to play games. | [[https:// | + | | Week 9:\\ Oct 17, 19 | Reinforcement learning with Q Function as Neural Network. Learning to play games. | [[https:// |
- | | Week 10:\\ Oct 24, 26 | Modular framework for reinforcement learning. Convolutional Neural Networks. Pytorch. | + | | Week 10:\\ Oct 24, 26 | Modular framework for reinforcement learning. Convolutional Neural Networks. |
===== 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. | | | [[https:// | + | | 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. Transformers. |
===== 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://www.cs.colostate.edu/~anderson/cs545/notebooks/2023_AI-scientists-topline-report81.pdf|AI Scientists’ Perspectives on AI]] | | + | | Week 15:\\ Dec 5, 7 | Transformers. | | [[https://colab.research.google.com/drive/1Qhq2FO4FFX_MKN5IEgia_PrBEttxCQG4? |
- | | 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.txt · Last modified: 2024/05/20 17:22 by 127.0.0.1