機器學習與資料探勘
Machine Learning and Data Mining
學期
106-2
學分
2
學分
當期課號
B563
永久課號
A6262
開課單位
腦科學研究所
授課教師
鍾翊方、陳麗芬
校區
陽明
類別
選修
上課時間表
| 節 | 週五 |
|---|---|
5 13:20–14:10 | 機器學習與資料探勘 YL845 2 節連堂 |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction (T1-Ch1, T2-Ch1) |
| 第 2 週 | Linear Algebra (T1-A, T3-Ch2) |
| 第 3 週 | Probability and Information Theory (T1-A, T3-Ch3) |
| 第 4 週 | Supervised Learning and Bayesian Decision Theory (T1-Ch2-4, T3-Ch5) |
| 第 5 週 | Multivariate Method and Dimensionality Reduction (T1-Ch5-6, T3-Ch5) |
| 第 6 週 | Clustering (T1-Ch7, T2-Ch6) |
| 第 7 週 | 校際活動週(停課) |
| 第 8 週 | Linear discrimination and support vector machines (T1-Ch10) |
| 第 9 週 | Proposal presentation of term project |
| 第 10 週 | Decision tress (T1-Ch9) |
| 第 11 週 | Artificial neural network (T1-Ch11, T2-Ch9) |
| 第 12 週 | Fuzzy sets and fuzzy logic (T2-Ch11) |
| 第 13 週 | 水上運動會(停課) |
| 第 14 週 | Deep Feedforward Networks and Convolutional Networks (T3-Ch9) |
| 第 15 週 | Deep Feedforward Networks and Convolutional Networks (T3-Ch9) |
| 第 16 週 | Sequence Modeling: Recurrent and Recursive Nets (T3-Ch10) |
| 第 17 週 | Term project presentation |
| 第 18 週 | Term project presentation |