113年第1學期-1000 機器學習導論 課程資訊
評分方式
評分項目 | 配分比例 | 說明 |
---|---|---|
Midterm Exam | 20 | |
Final Exam | 20 | |
Regular Assignments | 20 | |
Final Presentation | 20 | |
Attendance Rate and Class Performance | 20 |
選課分析
本課程名額為 60人,已有56 人選讀,尚餘名額4人。
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授課教師
陳仕偉教育目標
The goal of this course is to provide students with the skills to learn machine learning techniques, enabling them to quickly and systematically grasp the latest trends in artificial intelligence technology and thoroughly understand how artificial intelligence works.
The course will first cover the theory of machine learning, including classification, problem definition, and methods. It will then delve into the important concepts of neural networks, which are at the core of machine learning. This will be accompanied by hands-on examples and self-practice, ensuring not only a deep understanding of the theory but also the practical implementation of neural networks.
課程資訊
基本資料
必修課,學分數:3-0
上課時間:一/5,6,7[ST019]
修課班級:資工系2C
修課年級:3年級以上
選課備註:資電組分組選修
教師與教學助理
授課教師:陳仕偉
大班TA或教學助理:尚無資料
Office HourWednesday 10:00-12:00 / ST324, 30 minutes after class
授課大綱
授課大綱:開啟授課大綱(授課計畫表)
(開在新視窗)
參考書目
self-designed teaching material
開課紀錄
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