本課程為人工智慧的相關課程，首先介紹機器學習的基礎概念，如:監督式學習、與非監督學習的相關技術，並透過實例介紹機器學習基礎的model與核心概念與應用。透過課將人工智慧重要基礎觀念與理論介紹出來。This course is a related course of artificial intelligence. It first introduces the basic concepts of machine learning, such as: supervisory learning, related technologies of non-supervised learning, and introduces the basic model and core concepts and applications of machine learning through examples. Through the course, we will introduce important basic concepts and theoretical discussions of artificial intelligence.
人工智慧-基本觀念與理論-蘇豐文(高立)
Artificial Intelligence-Basic Concepts and Theory-Sufengwen (Gao Li)
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 出席率與其他出席率與其他 Attendance and other |
10 | |
| 作業作業 Action |
45 | |
| 期中考期中考 Midterm exam |
20 | |
| 期末考期末考 Final exam |
25 |
