機器學習
Machine Learning
| 節 | 週一 |
|---|---|
5 13:20–14:10 | 機器學習 EE206（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
In this course, to enable students to understand the application of machine learning and the theoretical background of machine learning and evaluate how to use appropriate algorithms in practical examples. Topics cover regression analysis in data prediction, data dimensionality reduction methods in data feature extraction, and neural network-like methods in data classification.
Linear algebra, probability, fundamental calculus, programming (Python, Matlab, Tensorflow, etc.), optimization EECN30124), highly recommended!
無備註
TA: Satrio Sanjaya (sanjaya.sanjaya5@gmail.com)
Four homework assignments 20% Mid-term exam 30% Final exam 30% Final project 20%
教師未提供此項資料
| 週次 | 主題 |
|---|---|
| 第 1 週 | Intro & probability & optimization & scikit learn 2023-02-13(一) |
| 第 2 週 | No class 2023-02-20(一) |
| 第 3 週 | Holiday 2023-02-27(一) |
| 第 4 週 | Fundamentals of ML 2023-03-06(一) |
| 第 5 週 | Parametric methods 2023-03-13(一) |
| 第 6 週 | Regression 2023-03-20(一) |
| 第 7 週 | Dimension reduction 2023-03-27(一) |
| 第 8 週 | Clustering 2023-04-03(一) |
| 第 9 週 | Mid-term 2023-04-10(一) |
| 第 10 週 | Logistic regression & Decision Tree 2023-04-17(一) |
| 第 11 週 | Kernel machines 2023-04-24(一) |
| 第 12 週 | Neural Networks 2023-05-01(一) |
| 第 13 週 | Hidden Markov Models 2023-05-08(一) |
| 第 14 週 | Ensemble methods 2023-05-15(一) |
| 第 15 週 | Reinforcement learning 2023-05-22(一) |
| 第 16 週 | Introduction to Scikit-Learn 2023-05-29(一) |
| 第 17 週 | Final exam 2023-06-05(一) |
| 第 18 週 | 2023-06-12(一) |
1. E. Alpaydin (2004). Introduction to machine learning. Cambridge, MA: MIT Press. 2. Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar. Foundations of machine learning. MIT press, 2018. 3. C. Bishop "Pattern Recognition and Machine Learning (Information Science and Statistics), 1st edn. 2006. corr. 2nd printing edn." (2007). 4. Sergios Theodoridis (2015). Machine Learning: A Bayesian and Optimization Perspective. Elsevier Ltd. 5. Sebastian Raschka (2015), Python machine learning. Packt publishing ltd.
- 地點
- EE749
- 時間
- Monday, 11am-12pm
- 聯絡方式
- Tel: 03-5712121 ext54345 or Email: sofin@nycu.edu.tw