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課程名稱 |
機器學習
Machine Learning |
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開課學期 |
111-2 |
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授課對象 |
電機資訊學院 資訊工程學研究所 |
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授課教師 |
林軒田 |
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課號 |
CSIE5043 |
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課程識別碼 |
922EU0960 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期四2,3,4(9:10~12:10) |
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上課地點 |
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備註 |
本課程以英語授課。人工智慧碩士班必修。上課教室：資103(主要),資102(同步).
總人數上限：440人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
Machine learning allows computational systems to adaptively improve their performance with experience accumulated from the data observed. This course introduces the basics of learning theories, the design and analysis of learning algorithms, and some applications of machine learning. |
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課程目標 |
The course is designed to prepare junior graduate students with a solid background of machine learning and allow them to use machine learning techniques appropriately in their future research or industry projects. |
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課程要求 |
Computer Programming, Calculus, Probability, Linear Algebra |
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預期每週課後學習時數 |
In our experience, most students need more than 16 hours per week outside of class, especially during homework submission weeks. |
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Office Hours |
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指定閱讀 |
Learning from Data, by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-Tien Lin |
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參考書目 |
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評量方式
(僅供參考) |
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