我們介紹資料的分析過程，並透過視覺化、實際資料的解說，資料的方法與相關的軟體，並透過學生分享實做，從中分析與分享資料的應用，教授機器學習相關的基礎知識和應用。
We introduce the analysis process of data, and through visualization and practical data interpretation, data methods and related software, and through students' sharing of practice, analyzing and sharing of data applications, teaching machine learning related basic knowledge and applications.
讓學生知悉資料探勘如何運作，原理為何
Let students know how data exploration works and what principles
Géron, A. (2019). Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly Media.
Géron, A. (2019). Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly Media.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中報告期中報告 Midterm Report |
20 | 期中報告 |
| 期末考期末考 Final exam |
30 | 期末考 |
| 期末報告期末報告 Final report |
20 | 期末繳交 |
| 平時成績平時成績 Regular achievements |
20 | 出席、作業、演習課 |
