資料探勘與應用

115學年第1學期 英語授課 選修課 3 學分
授課大綱
50
名額
0
已選
50
餘額
登記 10 人 · 選上機率 99.9%
上課時間
一/2,3,4
授課教師
Office Hour:課程前後10分鐘
修課班級
共選修3,4,碩博1,2(工學院開) · 1年級以上
課程資訊
教育部補助臺灣大專院校人工智慧學程聯盟,開設學校:清華大學(陳宜欣),上課時間:9:00~12:00,遠距課程。開放大三以上修課。英文授課。
選課分析

Two assignments 20
One short presentation 10
One project 25
One exam 35
Class participation (in or after class) 10

Data mining serves as a crucial field that leverages advanced algorithms to reveal hidden, yet invaluable insights buried within extensive datasets. These algorithms are drawn from a multitude of areas such as machine learning, artificial intelligence, pattern recognition, statistics, and database systems, working together to facilitate a deeper understanding and analysis of data.

Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Introduction to Data Mining,
Addison Wesley

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