分群法
Clustering Methods
| 節 | 週五 |
|---|---|
3 10:10–11:00 | 分群法 ED302(光復) 2 節連堂 |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
In this semester's course, we are going to go beyong clustering, and instead will cover a more comprehensive range of topics under the umbrella of "maching learning that utilize unlabeled data". The topics will include (but not limited to) the following: dimensionality reduction, clustering, manifold learning, latent variable methods, generative models, self-supervised learning, semi-supervised learning, and related applications.
Programming, linear algebra, calculus, probability theory
無備註
E3
Programming projects (implementation + report) x2 - 50% Presentation of a topic of your choice (oral + report) - 15% Project of a topic of your choice (implementation + oral + report) - 35%
教師未提供此項資料
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No required textbook
- 地點
- EC709
- 時間
- By appointment
- 聯絡方式
- E-mail: wangts@cs.nycu.edu.tw
