機器學習概論
Introduction to Machine Learning
| 節 | 週二 |
|---|---|
5 13:20–14:10 | 機器學習概論 EC022（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
This is a course aimed to provide an foundation of advanced grad-level courses, e.g. machine learning and data mining.
Computer Programming, Data Structures, Introduction to Algorithms
無備註
Onsite lectures + lecture notes
Only tentative: a. Quiz (20%); b. Mid-term (30%) and Final (30%); c. Term Project(s) (20%)
教師未提供此項資料
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction:1. Why machine learning2. Concept learning3. Inductive Learning 2024-09-03(二) |
| 第 2 週 | Data Preparation:1. Data types2. Data quality 3. Data preprocessing 2024-09-10(二) |
| 第 3 週 | Modeling:1. Parametric models2. Non-parametric models 2024-09-17(二) |
| 第 4 週 | Decision tree learning:1. Tree construction2. Tree pruning3. From trees to rules 2024-09-24(二) |
| 第 5 週 | Bayesian learning1. Bayesian decision2. Naive Bayes 2024-10-01(二) |
| 第 6 週 | Neural Nets:1. Perceptron2. Multilayer perceptrons3. Backprop 2024-10-08(二) |
| 第 7 週 | Clustering:1. Partition-based 2. Density-based clustering 2024-10-15(二) |
| 第 8 週 | Evaluation:1. Methodology2. Performance measures 2024-10-22(二) |
| 第 9 週 | Other issues:1. Algorithm-centric vs. Data-centric2. Predictive performance vs. comprehensibility 2024-10-29(二) |
| 第 10 週 | 2024-11-05(二) |
| 第 11 週 | 2024-11-12(二) |
| 第 12 週 | 2024-11-19(二) |
| 第 13 週 | 2024-11-26(二) |
| 第 14 週 | 2024-12-03(二) |
| 第 15 週 | 2024-12-10(二) |
| 第 16 週 | 2024-12-17(二) |
1. Machine Learning by Tom M. Mitchell, 1997. 2. Machine Learning for predictive data analytics by Kelleher, Namee, D’Arcy, 2015. 3. Introduction to Machine Learning by Alpaydin, 2020.
- 地點
- EC332C
- 時間
- Mon 9~10AM
- 聯絡方式
- By appointment