The 2020 MCUT-UNIB Artificial Intelligence Online Workshop

最後更新日期 : 2023-05-08

The 2020 MCUT-UNIB Artificial Intelligence Online Workshop

1.

10/22

Machine Learning Essential

– R/Python Hands-on and

Theoretical Background

1. Business Problems and Data Mining/Machine Learning Tasks Set

2. Dimensionality Reduction and Principal Component Analysis

3. Clustering Analysis

鄒慶士(Ching-Shih Tsou) / Prof. C.-S. (Vince) Tsou, Ph.D.,
2.

10/27

Machine Learning Essential

– R/Python Hands-on and

Theoretical Background

4. Association Rule Mining

5. k Nearest Neighbors

6. Tree-Based Models (Classification Trees, Regression Trees, and Model Trees incl.)

鄒慶士(Ching-Shih Tsou) / Prof. C.-S. (Vince) Tsou, Ph.D.,
3.

10/29

Machine Learning Essential

– R/Python Hands-on and

Theoretical Background

7. Naïve Bayes Classification (text processing incl.)

8. Support Vector Machines

9. Bagging and Boosting

鄒慶士(Ching-Shih Tsou) / Prof. C.-S. (Vince) Tsou, Ph.D.,
4. 11/3

Machine Learning Essential

– R/Python Hands-on

10.Naïve Bayes Classification (text processing incl.)

11.Support Vector Machines

12.Ensemble Learning: Bagging and Boosting
鄒慶士(Ching-Shih Tsou) / Prof. C.-S. (Vince) Tsou, Ph.D.,