人工智慧與大數據是驅動各行各業智慧應用的核心技術，然而，人工智慧與大數據不僅包含IT技術，亦融合統計學，更可說是數據科學。本課程主要目的在於讓學生能理解人工智慧與大數據在IT技術上的基礎概念以及預測分析、人工智慧上的基礎演算方法與實作範例。更重要的是，協助學生從應用情境、商業分析的角度，往下思考可能的人工智慧與大數據 數據分析問題與發展預測分析、人工智慧問題解決方法，諸如：聚類、分類、相似、異常、關聯、關係、鏈結、認知等以及合適的IT架構。Artificial intelligence and big data are the core technologies that drive intelligent applications in all walks of life. However, artificial intelligence and big data not only include IT technology, but also integrate statistics, which can be said to be data science. The main purpose of this course is to enable students to understand the basic concepts of artificial intelligence and big data in IT technology, as well as the basic calculation methods and practical examples of predictive analysis and artificial intelligence. More importantly, it helps students think about possible artificial intelligence and big data data analysis problems and development predictive analysis, and artificial intelligence problem solving methods from the perspective of application scenarios and business analysis, such as: clustering, classification, similarity, and anomalies. , association, relationship, link, cognition, etc. and appropriate IT architecture.
講義
Handouts
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考期中考 midterm exam |
30 | |
| 期末考期末考 final exam |
30 | |
| 作業與討論點名作業與討論點名 Assignment and discussion roll call |
40 |
