機器學習概論
Introduction to Machine Learning
學期
106-1
學分
3
學分
當期課號
1181
永久課號
DCP1241
開課單位
資訊工程學系
授課教師
鄭昌杰、荊宇泰
校區
光復
類別
選修
上課時間表
| 節 | 週二 | 週五 |
|---|---|---|
2 09:00–09:50 | 機器學習概論 ED117 | |
5 13:20–14:10 | 機器學習概論 ED117 2 節連堂 | |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
概述
This course introduces a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.
先修科目
Linear algebra, statistics, probability, and computer programming
評分方式
4-6 homework: 50% Term projects: 50%
課程大綱
- Introduction
- Information-based Learning
- Similarity-based Learning
- Probability-based Learning
- Error-based Learning
- Evaluation
- Case Study
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | Machine Learning for Predictive Data Analytics |
| 第 2 週 | Data to Insights to Decisions |
| 第 3 週 | Data Exploration |
| 第 4 週 | Information-based Learning |
| 第 5 週 | Similarity-based Learning |
| 第 7 週 | Probability-based Learning |
| 第 11 週 | Error-based Learning |
| 第 14 週 | Evaluation |
| 第 15 週 | Case Study |
教科書
John D. Kelleher, Brian Mac Namee and Aoife D'Arcy, "Fundamentals of Machine Learning for Predictive Data Analytics," MIT Press, 2015.
Office Hours
- 地點
- EC444 and EC701
- 時間
- By appointment
- 聯絡方式
- ytc@cs.nctu.edu.tw chengchc@cs.nctu.edu.tw