schedule
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+ | /*** | ||
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+ | To use jupyter notebooks on our CS department machines, you must add this line to your .bashrc file: | ||
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+ | export PATH=/ | ||
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+ | ***/ | ||
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+ | /*** | ||
+ | Please send your suggestions regarding lecture topics to Chuck using [[https:// | ||
+ | ***/ | ||
+ | | ||
+ | | ||
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+ | The following schedule is **tentative and is being updated**. | ||
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+ | ===== August ===== | ||
+ | |||
+ | |< 100% 18% 20% 22% 20% 20% >| | ||
+ | ^ Week ^ Topic ^ Lecture Notes ^ Reading | ||
+ | | Week 1:\\ Aug 22, 24 | Course overview. Jupyter notebooks. | ||
+ | | Week 2:\\ Aug 29, 31 | Jupyter notebook animations. Optimization algorithms. Simple linear and nonlinear models. | ||
+ | |||
+ | ===== September ===== | ||
+ | |||
+ | |< 100% 18% 20% 22% 20% 20% >| | ||
+ | ^ Week ^ Topic ^ Lecture Notes ^ Reading | ||
+ | | Week 3:\\ Sept 5, 7\\ Chuck' | ||
+ | | Week 4:\\ Sept 12, 14 | Design of NeuralNetwork class. Optimizers. | ||
+ | | Week 5:\\ Sept 19, 21 | Using optimizers. | ||
+ | | Week 6:\\ Sept 26, 28 | Early stopping (new version of optimizers). A3. Introduction to classification. | ||
+ | |||
+ | ===== October ===== | ||
+ | |||
+ | |< 100% 18% 20% 22% 20% 20% >| | ||
+ | ^ Week ^ Topic ^ Lecture Notes ^ Reading | ||
+ | | 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 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. | ||
+ | |||
+ | ===== November ===== | ||
+ | |||
+ | |< 100% 18% 20% 22% 20% 20% >| | ||
+ | ^ Week ^ Topic ^ Lecture Notes ^ Reading | ||
+ | | Week 11:\\ Oct 31 Nov 2 | Ray. Pytorch. | ||
+ | | Week 12:\\ Nov 7, 9 | Convolutional Neural Networks. Ensembles. | ||
+ | | Week 13:\\ Nov 14, 16 | Clustering. K-Nearest Neighbors. Jax. | [[https:// | ||
+ | | Fall Break:\\ Nov 20-24 | No classes. | ||
+ | | Week 14:\\ Nov 28, 30 | Support Vector Machines. Web Apps with Streamlit. Word Embeddings. | ||
+ | |||
+ | ===== December ===== | ||
+ | |||
+ | |< 100% 18% 20% 22% 20% 20% >| | ||
+ | ^ Week ^ Topic ^ Lecture Notes ^ Reading | ||
+ | | Week 15:\\ Dec 5, 7 | Transformers. | ||
+ | Models Through the Problem They are Trained to Solve]] | ||
+ | | Dec 11-15 | Final Exam Week | No Exams in this course | ||
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schedule.1565288080.txt.gz · Last modified: 2019/08/08 12:14 (external edit)