This course is designed for the Ph.D. and aggresive Master students. The purpose of this course is to help the students to facilitate the knowledge of Artificial Intelligence approaches and the possible applications. The ways to expolore the relationships among data are heavily investigated and discussed in these years. Searching and learning methods are alternative approaches in pursuing the goal. The basic concepts of Machine Learning will be covered and the methodologies on the statistical notion on data modeling will be emphasized. This course is designed for the Ph.D. and aggresive Master students. The purpose of this course is to help the students to facilitate the knowledge of Artificial Intelligence approaches and the possible applications. The ways to explore the relationships among data are heavily investigated and discussed in these years. Searching and learning methods are alternative approaches in pursuing the goal. The basic concepts of Machine Learning will be covered and the methods on the statistical notion on data modeling will be emphasized.
Kecman, Vojislav, “Learning and Soft Computing”, The MIT Press, 2001
Kecman, Vojislav, “Learning and Soft Computing”, The MIT Press, 2001
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| participation and discussionparticipation and discussion participation and discussion |
20 | |
| homeworkhomework homework |
20 | |
| midterm reportmidterm report midterm report |
30 | |
| final reportfinal report Final report |
30 |
