機器學習
Machine Learning
| 節 | 週二 |
|---|---|
5 13:20–14:10 | 機器學習 CM212（歸仁） 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 course, with the assistance of a well-known free online video, Stanford cs229 machine learning summer edition, provides basic, general, and advanced machine learning concepts. Topics include supervised learning, reinforcement learning, unsupervised learning, variational inference, etc. We will also include decision trees and recent advanced topics, such as self-supervised learning, contrastive learning, and large-language models. Classes will be conducted either remotely or in-person.. For remote classes, we use Microsoft Teams with the link https://tinyurl.com/5trweptk
Basics of probability theory, linear algebra, and multivariable calculus Reasonably computer programming skills in Matlab/Python/numpy.
無備註
Reference web sites: https://cs229.stanford.edu/syllabus-summer2020.html https://github.com/maxim5/cs229-2018-autumn https://www.youtube.com/playlist?list=PLblh5JKOoLUICTaGLRoHQDuF_7q2GfuJF
5 Homework Problem sets: 1 Term project proposal: 1 Term project report = 40%:20%:40%
教師未提供此項資料
| 週次 | 主題 |
|---|---|
| 第 1 週 | Part 1. Basic Machine learning concepts 1. Course outline, Introduction and Logistics K-near neighbors, Decision tree, Random forest https://tinyurl.com/5trweptk 2023-09-12(二) 時數：[2023-09-12]馬清文(3.00) |
| 第 2 週 | 2. Gradient Boost Decision tree, XG-Boost, Tabular data vs. multi-media data CM212 or https://tinyurl.com/5trweptk 2023-09-19(二) 時數：[2023-09-19]馬清文(3.00) |
| 第 3 週 | *** Supervised Learning *** 3. Linear Regression [Stochastic] Gradient Descent ([S]GD) Normal Equations Probabilistic Interpretation Maximum Likelihood Estimation (MLE) Problem Set 1 and 2 Release CM212 or https://tinyurl.com/5trweptk 2023-09-26(二) 時數：[2023-09-26]馬清文(3.00) |
| 第 4 週 | 4. Perceptron Logistic Regression Newton's Method CM212 or https://tinyurl.com/5trweptk 2023-10-03(二) 時數：[2023-10-03]馬清文(3.00) |
| 第 5 週 | Part 2. General Machine Learning Concepts 5. Exponential Family Generalized Linear Models (GLM) Gaussian Discriminant Analysis (GDA) Naive Bayes Laplace Smoothing CM212 or https://tinyurl.com/5trweptk 2023-10-10(二) 時數：[2023-10-10]馬清文(3.00) |
| 第 6 週 | 6. Kernel Methods Support Vector Machine CM212 or https://tinyurl.com/5trweptk 2023-10-17(二) 時數：[2023-10-17]馬清文(3.00) |
| 第 7 週 | 7. Support Vector Machine Application Bayesian Methods (optional) Parametric (Bayesian Linear Regression, optional) Non-parametric (Gaussian process, optional) CM212 or https://tinyurl.com/5trweptk 2023-10-24(二) 時數：[2023-10-24]馬清文(3.00) |
| 第 8 週 | 8. Neural Networks and Deep Learning Problem set 3 Release CM212 or https://tinyurl.com/5trweptk 2023-10-31(二) 時數：[2023-10-31]馬清文(3.00) |
| 第 9 週 | *** Theory *** 9. Bias and Variance Regularization, Bayesian Interpretation Model Selection CM212 or https://tinyurl.com/5trweptk 2023-11-07(二) 時數：[2023-11-07]馬清文(3.00) |
| 第 10 週 | 10. Bias-Variance tradeoff (wrap-up) Empirical Risk Minimization Uniform Convergence CM212 or https://tinyurl.com/5trweptk 2023-11-14(二) 時數：[2023-11-14]馬清文(3.00) |
| 第 11 週 | *** Reinforcement Learning *** 11. Reinforcement Learning (RL) Markov Decision Processes (MDP) Value and Policy Iterations Learning MDP model Continuous States Problem set 4.2 4.4 release CM212 or https://tinyurl.com/5trweptk 2023-11-21(二) 時數：[2023-11-21]馬清文(3.00) |
| 第 12 週 | 12. Recap, Review, and Term project proposal CM212 or https://tinyurl.com/5trweptk 2023-11-28(二) |
| 第 13 週 | *** unsupervised learning *** 13. K-means clustering Mixture of Gaussians (GMM) Expectation Maximization (EM) Principal Components Analysis (PCA) Independent Components Analysis (ICA) Problem set 4.1 4.3 release CM212 or https://tinyurl.com/5trweptk 2023-12-05(二) 時數：[2023-12-05]馬清文(3.00) |
| 第 14 週 | Part3. Advanced machine learning concepts 14. Variational Inference EM Variants Variational Autoencoder Principal Components Analysis (PCA) CM212 or https://tinyurl.com/5trweptk 2023-12-12(二) 時數：[2023-12-12]馬清文(3.00) |
| 第 15 週 | 15. Advanced topics To be determined. CM212 or https://tinyurl.com/5trweptk 2023-12-19(二) 時數：[2023-12-19]馬清文(3.00) |
| 第 16 週 | 16. Term project report CM212 or thttps://tinyurl.com/5trweptk 2023-12-26(二) 時數：[2023-12-26]馬清文(3.00) |
https://cs229.stanford.edu/lectures-spring2022/main_notes.pdf
- 地點
- online
- 時間
- on appointment
- 聯絡方式
- email: machingwen@ncyu.edu.tw