Course Calender (Subject to Change)
| Week | Day | Date | Topic | Speaker | Reading | Assigned | Due |
| 1 | Wed | Jan 17 | Introduction | Zhiyao Duan | LWLS Ch. 1; WBK Ch. 1; Mitchell Ch. 1 | Project HW1 |
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| 1 | Fri | Jan 19 | Tools for Machine Learning | Yujia Yan | W3C Learning by Examples Official Python Tutorial 2023 Slides |
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| 2 | Wed | Jan 24 | Math Review | Zhiyao Duan | WBK Appendix C; Linear Algebra; Probability Review | HW2 | HW1 |
| 2 | Fri | Jan 26 | Nearest Neighbor | Zhiyao Duan | LWLS Ch. 2.1-2.2; Mitchell Ch. 8.1-8.2 | ||
| 3 | Wed | Jan 31 | Decision Trees | Zhiyao Duan | Mitchell Ch. 3; LWLS Ch. 2.3 | ||
| 3 | Fri | Feb 2 | Linear Classification | Zhiyao Duan | Mitchell 4.3-4.4; WBK Ch. 6.1-6.4.4 | HW3 | HW2 |
| 4 | Wed | Feb 7 | More on Linear Classification | Zhiyao Duan | WBK Ch. 7.1-7.3 | ||
| 4 | Fri | Feb 9 | Support Vector Machine | Zhiyao Duan | WBK Ch. 6.5; LWLS Ch. 8.1, 8.4-8.5 | ||
| 5 | Wed | Feb 14 | Regression | Zhiyao Duan | WBK Ch. 5.1-5.3; LWLS Ch. 3.1, 3.3, 8.2-8.3 | HW4 | HW3 |
| 5 | Fri | Feb 16 | More on Regression | Zhiyao Duan | LWLS Ch. 5.2-5.3 | ||
| 6 | Wed | Feb 21 | Evaluating Performance | Zhiyao Duan | LWLS Ch. 4 | ||
| 6 | Fri | Feb 23 | Neural Networks | Zhiyao Duan | LWLS Ch. 6.1; WBK Ch. 13.1-13.3; Mitchell Ch. 4.1-4.3 | HW5 | HW4 (due Sat) |
| 7 | Wed | Feb 28 | Backpropagation | Zhiyao Duan | LWLS Ch. 6.2, 6.A; WBK Ch. 13.4; Mitchell Ch. 4.5-4.6 | ||
| 7 | Fri | Mar 1 | Convolutional Neural Networks | Zhiyao Duan | LWLS Ch. 6.3-6.4; GBC Ch. 9.1-9.4 | ||
| 8 | Wed | Mar 6 | Network Training | Huiran Yu | GBC Ch. 8.1-8.5 | ||
| 8 | Fri | Mar 8 | More on CNNs | Zhiyao Duan | GBC Ch. 9.5-9.10 | HW6 | HW5 |
| 9 | Wed | Mar 13 | NO CLASS: Spring Break | ||||
| 9 | Fri | Mar 15 | NO CLASS: Spring Break | ||||
| 10 | Wed | Mar 20 | Project Idea Pitch | Students | |||
| 10 | Fri | Mar 22 | Recurrent Neural Networks | Zhiyao Duan | GBC Ch. 10.1-10.5 | HW7 | HW6, Project Proposal |
| 11 | Wed | Mar 27 | (*) Transformers and GANs | Zhiyao Duan | Transformers GANs |
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| 11 | Fri | Mar 29 | Clustering | Zhiyao Duan | WBK Ch. 8.5; LWLS Ch. 10.2 K-Means | ||
| 12 | Wed | Apr 3 | Principal Component Analysis | Zhiyao Duan | WBK Ch. 8.3; LWLS Ch. 10.4 | HW8 | HW7 |
| 12 | Fri | Apr 5 | Autoencoders | Zhiyao Duan | WBK Ch. 8.3; GBC Ch. 14.1-14.6 | ||
| 13 | Wed | Apr 10 | Dimensionality Reduction | Zhiyao Duan | LWLS Ch. 10.4; Isomap; LLE | ||
| 13 | Fri | Apr 12 | (*) Gaussian Mixture Model; (*) Bayes Classification | Yujia Yan | LWLS Ch. 10.1; Mitchell Ch. 6.1-6.9 | HW8 | |
| 14 | Wed | Apr 17 | Graph Neural Networks | Hamed Ajorlou | |||
| 14 | Fri | Apr 19 | Ensemble Learning | Huiran Yu | LWLS Ch. 7.1-7.3 | ||
| 15 | Wed | Apr 24 | Reinforcement Learning | Zhiyao Duan | Mitchell Ch. 13.1-13.5 | Project Update (Mon) | |
| 15 | Fri | Apr 26 | Issues in Machine Learning; Concluding Remarks | Zhiyao Duan | LWLS Ch. 12 | ||
| 17 | Tue | May 7 | Project Presentation 12:30 - 3 in CSB 601 | Students | Project Report & Slides (due Wed) |