應用多變量分析與機械學習
Applied Multivariate Analysis and Machine Learning
| 節 | 週一 |
|---|---|
5 13:20–14:10 | 應用多變量分析與機械學習 HA220（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
With the Project-based Learning, there are four major goals of this course: to understand the concepts related to Multivariate Analysis/Machine Learning; to be able to specify your own models and analyze the data using one of the Stat. programs; to be able to interpret the statistical findings to lay persons. We will be using the R program to perform the analyses.
Students are expected to have basic knowledge on ANOVA, and Multiple Regression. Students who have not taken the required courses (e.g. Adv. Stats, IED 5895) have to meet with me before they register for this course.
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40% Homework 20% Term project and final presentation 10% Class presentation 10% In-class and Facebook club participation 20% Computer Lab and Experiments of multi-modal behavioral and psychological data collection.
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| 週次 | 主題 |
|---|---|
| 第 1 週 | Syllabus & Why Study Multivariate Analysis and Machine Learning in Substantive Research? |
| 第 2 週 | Unsupervised ML & Cluster Analysis |
| 第 3 週 | Unsupervised ML & CA |
| 第 4 週 | Multivariate Analysis of Variance |
| 第 5 週 | MANOVA |
| 第 6 週 | Association Analysis & Canonical Correlation Analysis |
| 第 7 週 | AA & CCA |
| 第 8 週 | Supervised ML: Descriptive Discriminant Analysis, RF, SVM, Logistic Regression, NN |
| 第 9 週 | Supervised ML |
| 第 10 週 | Principle Component Analysis |
| 第 11 週 | PCA |
| 第 12 週 | Exploratory Factor Analysis |
| 第 13 週 | EFA |
| 第 14 週 | Computer Lab, Experiment and Term project Q&A |
| 第 15 週 | Term project Q&A |
| 第 16 週 | Term project Presentation |
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