Course Calender (Subject to Change)
| Week | Day | Date | Topic | Speaker | Reading | Assigned | Due |
| 1 | Wed | Jan 22 | Introduction / Math Review | Zhiyao | LWLS Ch. 1; WBK Ch. 1; Mitchell Ch. 1 | Project HW1 |
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| 1 | Fri | Jan 24 | NO CLASS: Rochester Monday | WBK Appendix C; Linear Algebra; Probability Review | |||
| 2 | Wed | Jan 29 | Tools for Machine Learning | Baotong | W3C Learning by Examples Official Python Tutorial 2023 Slides 2024 Slides |
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| 2 | Fri | Jan 31 | Math Review / Nearest Neighbor | Zhiyao | LWLS Ch. 2.1-2.2; Mitchell Ch. 8.1-8.2 | HW2 | HW1 |
| 3 | Wed | Feb 5 | Nearest Neighbor / Decision Trees | Zhiyao | Mitchell Ch. 3; LWLS Ch. 2.3 | ||
| 3 | Fri | Feb 7 | Linear Classification | Zhiyao | Mitchell 4.3-4.4; WBK Ch. 6.1-6.4.4 | HW3 | HW2 (due Sun) |
| 4 | Wed | Feb 12 | More on Linear Classification | Zhiyao | WBK Ch. 7.1-7.3 | ||
| 4 | Fri | Feb 14 | Support Vector Machine | Zhiyao | WBK Ch. 6.5; LWLS Ch. 8.1, 8.4-8.5 | ||
| 5 | Wed | Feb 19 | Regression | Baotong | WBK Ch. 5.1-5.3; LWLS Ch. 3.1, 3.3, 8.2-8.3 | HW4 | HW3 |
| 5 | Fri | Feb 21 | More on Regression | Zhiyao | LWLS Ch. 5.2-5.3 | ||
| 6 | Wed | Feb 26 | Evaluating Performance | Zhiyao | LWLS Ch. 4 | ||
| 6 | Fri | Feb 28 | Neural Networks | Zhiyao | LWLS Ch. 6.1; WBK Ch. 13.1-13.3; Mitchell Ch. 4.1-4.3 | HW5 | HW4 |
| 7 | Wed | Mar 5 | Backpropagation | Zhiyao | LWLS Ch. 6.2, 6.A; WBK Ch. 13.4; Mitchell Ch. 4.5-4.6 | ||
| 7 | Fri | Mar 7 | Project Idea Pitch | Students | Project Proposal | ||
| 8 | Wed | Mar 12 | NO CLASS: Spring Break | ||||
| 8 | Fri | Mar 14 | NO CLASS: Spring Break | ||||
| 9 | Wed | Mar 19 | Convolutional Neural Networks | Zhiyao | LWLS Ch. 6.3-6.4; GBC Ch. 9.1-9.4 | HW6 | HW5 |
| 9 | Fri | Mar 21 | More on CNNs | Zhiyao | GBC Ch. 9.5-9.10 | ||
| 10 | Wed | Mar 26 | Network Training | Xingjian | GBC Ch. 8.1-8.5 | ||
| 10 | Fri | Mar 28 | Recurrent Neural Networks | Zhiyao | GBC Ch. 10.1-10.5 | HW7 | HW6 |
| 11 | Wed | Apr 2 | (*) Transformers and GANs | Zhiyao | Transformers GANs |
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| 11 | Fri | Apr 4 | Clustering | Zhiyao | WBK Ch. 8.5; LWLS Ch. 10.2 K-Means | ||
| 12 | Wed | Apr 9 | Principal Component Analysis | Zhiyao | WBK Ch. 8.3; LWLS Ch. 10.4 | HW8 | HW7 |
| 12 | Fri | Apr 11 | Autoencoders | Zhiyao | WBK Ch. 8.3; GBC Ch. 14.1-14.6 | ||
| 13 | Wed | Apr 16 | Dimensionality Reduction | Zhiyao | LWLS Ch. 10.4; Isomap; LLE | ||
| 13 | Fri | Apr 18 | (*) Gaussian Mixture Model; (*) Bayes Classification | Zhiyao | LWLS Ch. 10.1; Mitchell Ch. 6.1-6.9 | HW8 | |
| 14 | Wed | Apr 23 | Diffusion Models | Xingjian | |||
| 14 | Fri | Apr 25 | Ensemble Learning | Zhiyao | LWLS Ch. 7.1-7.3 | ||
| 15 | Wed | Apr 30 | Reinforcement Learning | Zhiyao | Mitchell Ch. 13.1-13.5 | Project Update (Mon) | |
| 15 | Fri | May 2 | Issues in Machine Learning; Concluding Remarks | Zhiyao | LWLS Ch. 12 | ||
| 16 | Thu | May 8 | Project Presentation | Students | 12:30-3:30 PM in CSB 601 | Project Report & Slides |