機器學習概論
Introduction to Machine Learning
| 節 | 週二 |
|---|---|
5 13:20–14:10 | 機器學習概論 EC122（光復） 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
I will introduce several representative machine learning algorithms, such as linear models for classification and regression, dimensionality reduction methods, neural networks, ensemble methods, kernel methods, deep learning, convolutional neural networks, and transformers.
Linear algebra, probability, calculus, programming (such as Python), and deep learning programming (such as PyTorch, Keras, or TensorFlow)
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Four Homework Assignments: 60% (= 15% x 4) Final Exam: 40%
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| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction 2025-09-02(二) 時數：[2025-09-02]林彥宇(3.00) |
| 第 2 週 | Linear Model for Regression I 2025-09-09(二) 時數：[2025-09-09]林彥宇(3.00) |
| 第 3 週 | Linear Model for Regression II (pre-recorded lecture video) 2025-09-16(二) 時數：[2025-09-16]林彥宇(0.00) |
| 第 4 週 | Linear Model for Classification I 2025-09-23(二) 時數：[2025-09-23]林彥宇(3.00) |
| 第 5 週 | Linear Model for Classification II 2025-09-30(二) 時數：[2025-09-30]林彥宇(3.00) |
| 第 6 週 | Neural Networks 2025-10-07(二) 時數：[2025-10-07]林彥宇(3.00) |
| 第 7 週 | Ensemble Model I 2025-10-14(二) 時數：[2025-10-14]林彥宇(3.00) |
| 第 8 週 | Ensemble Model II (pre-recorded lecture video) 2025-10-21(二) 時數：[2025-10-21]林彥宇(3.00) |
| 第 9 週 | Kernel Method I 2025-10-28(二) 時數：[2025-10-28]林彥宇(3.00) |
| 第 10 週 | Kernel Method II 2025-11-04(二) 時數：[2025-11-04]林彥宇(3.00) |
| 第 11 週 | Deep Neural Networks (DNN) 2025-11-11(二) 時數：[2025-11-11]林彥宇(3.00) |
| 第 12 週 | Convolutional Neural Networks (CNN) I 2025-11-18(二) 時數：[2025-11-18]林彥宇(3.00) |
| 第 13 週 | Convolutional Neural Networks (CNN) II and Transformers I 2025-11-25(二) 時數：[2025-11-25]林彥宇(3.00) |
| 第 14 週 | Transformers II 2025-12-02(二) 時數：[2025-12-02]林彥宇(3.00) |
| 第 15 週 | Final Exam 2025-12-09(二) 時數：[2025-12-09]林彥宇(3.00) |
| 第 16 週 | Diffusion Models 2025-12-16(二) 時數：[2025-12-16]林彥宇(3.00) |
1. C. Bishop, Pattern Recognition and Machine Learning, Springer 2006 https://www.springer.com/gp/book/9780387310732 Free pdf download: https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf 2. Ian Goodfellow, Yoshua Bengio, and Aaron Courville, Deep Learning, MIT Press, 2016 Free pdf download: https://www.deeplearningbook.org/
- 地點
- EC234-C (TA), EC701 (TA), or EC706 (Instructor) Please send us an email in advance to make an appointment, and we will inform you where to have a discussion.
- 時間
- Tuesday 4:20 pm ~ 5:20 pm
- 聯絡方式
- Instructor: Yen-Yu Lin (林彥宇) Email: lin@cs.nycu.edu.tw TAs: Wei-Hsiang Yu (游為翔) Email: weihsiang.yu@gmail.com Jian-Zhe Wang (王健哲) Email: jzwang.cs13@nycu.edu.tw Chun-Cheng Chu (朱峻正) Email: jasonchu.cs13@nycu.edu.tw Yi-Jen Tsai (蔡宜蓁) Email: tsai.cs14@nycu.edu.tw Yu-Chi Chung (鍾育騏) Email: cs0905555581@gmail.com