本課程希望培養學生對於data mining相關的理論方法與實務問題解決的能力
課程主要涵蓋資料處理、分類、關係、分群等方法，並透過實際問題分析與探討，
了解各個方法如何應用到真實世界的資料處理，進而有能力提供真實問題的解決方法.
此外, 授課教師中有兩位是台中榮總醫師, 將透過課程中分享資料探勘技術在醫療產業的相關實際應用案例.This course hopes to cultivate students' ability to solve theoretical methods and practical problems related to data mining.
The course mainly covers data processing, classification, relationship, grouping and other methods, and through analysis and discussion of practical problems,
Understand how each method is applied to real-world data processing, and then be able to provide solutions to real problems.
In addition, two of the lecturers are Taichung Chief Physicians Rong, who will share relevant practical application cases of data mining technology in the medical industry through the course.
To equip the students with the knowledge and techniques of data mining to handle real world problems
to equip the students with knowledge and techniques of data mining to handle real world problems
Data Mining: A Tutorial-Based Primer
Richard J. Roiger, Michael W. Geatz
Addison, 2002
Introduction to Machine Learning in Python
Andreas C. Müller & Sarah Guido
O'Reilly 2017
Data Mining: A Tutorial-Based Primer
Richard J. Roiger, Michael W. Geatz
Addison, 2002
Introduction to Machine Learning in Python
Andreas C. Müller & Sarah Guido
O'Reilly 2017
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 課堂參與課堂參與 class participation |
20 | 點名、課堂討論互動、特定議題意見表達 |
| 期中報告期中報告 interim report |
40 | |
| 期末專題實作與報告期末專題實作與報告 Final project implementation and report |
40 |
