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課程名稱 |
機器學習
Machine Learning |
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開課學期 |
112-1 |
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授課對象 |
電機資訊學院 資料科學碩士學位學程 |
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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 |
922 U0960 |
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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 |
必修 |
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上課時間 |
星期三2,3,4(9:10~12:10) |
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上課地點 |
資104 |
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備註 |
人工智慧碩士班必修。資102同步。
總人數上限：106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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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 |
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Office Hours |
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指定閱讀 |
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參考書目 |
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評量方式
(僅供參考) |
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