| 課程編碼 Course Code | 中文課程名稱 Course Name (Chinese) | 英文課程名稱 Course Name (English) | 總學分數 Credits | 總時數 Hours |
|---|---|---|---|---|
| AB02031 | 機器學習實戰 | Machine Learning Practice | 3.0 | 3 |
| 中文概述 Chinese Description | 本課程將帶領學生從基礎的機器學習概念開始，逐步學習各種機器學習演算法與實作技巧，並將所學應用於實際問題中。課程內容涵蓋監督式學習、非監督式學習、強化學習等機器學習範疇，並將使用 Python 程式語言與 scikit-learn、TensorFlow 等熱門機器學習框架進行實作。本課程預計使用 EMI 授課。 | |||
| 英文概述 English Description | This course will guide students from fundamental machine learning concepts, gradually learning various machine learning algorithms and implementation techniques, and applying what they have learned to real-world problems. The course content covers supervised learning, unsupervised learning, reinforcement learning, and other areas of machine learning. Students will use Python programming language along with popular machine learning frameworks such as scikit-learn and TensorFlow for hands-on implementation. | |||
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