介紹資料探索的方法及各種機器學習和資料探勘理論，利用Python(R語言)進行實際數據分析。學生必須進行分組比賽，並於每週與教師和其他同學討論他們的發現以及遇到的問題。期能藉由解決實際問題的過程累積實戰經驗並厚實計算的能力。Introduce data exploration methods and various machine learning and data exploration theories, and use Python (R language) for actual data analysis. Students must compete in groups and discuss their findings and problems with teachers and other students each week. It is hoped that students can accumulate practical experience and solid calculation skills through the process of solving practical problems.
1. Huyen, C. (2022). Designing machine learning systems. " O'Reilly Media, Inc.".
2. Ping, D. (2022). The Machine Learning Solutions Architect Handbook: Create machine learning platforms to run solutions in an enterprise setting. Packt Publishing Ltd.
1. Huyen, C. (2022). Designing machine learning systems. " O'Reilly Media, Inc.".
2. Ping, D. (2022). The Machine Learning Solutions Architect Handbook: Create machine learning platforms to run solutions in an enterprise setting. Packt Publishing Ltd.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期末報告期末報告 Final report |
30 | |
| 期末競賽期末競賽 Final competition |
30 | |
| 作業作業 Homework |
30 | |
| 出席狀況與平時表現出席狀況與平時表現 Attendance status and usual performance |
10 |
