113年第2學期-0987 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
Regular Assignments	20
Final Project	20
Attendance Rate and Class Performance	20

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.

基本資料

必修課，學分數：0-3
上課時間：三/6,7,8[ST019]
修課班級：資工系1A
修課年級：1年級以上
選課備註：

參考書目

1.Self-made teaching materials
2.Deep Learning/ ISBN:0262035618/ MIT
3.Pattern Recognition and Machine Learning/ISBN:0387310738 /Springer