108年第1學期-1651 大數據機器學習導論-使用R語言 課程資訊

評分方式

評分項目	配分比例	說明
Homeworks and Projects.	40
Midterm exam	30
Final exam	30

教育目標

No programming experience required. Data mining is the process to discover interesting knowledge from large amounts of data. It is an interdisciplinary field with contributions from many areas, such as statistics, machine learning, information retrieval, pattern recognition and bioinformatics. Data mining is widely used in many domains, such as retail, finance, telecommunication and social media. The main techniques for data mining include classification and prediction, clustering, outlier detection, association rules, sequence analysis, time series analysis and text mining, and also some new techniques such as social network analysis and sentiment analysis.

基本資料

選修課，學分數：3-0
上課時間：四/10,11,12[M025]
修課班級：資管系2-4
修課年級：年級以上
選課備註：全英語授課。可作為英文畢業門檻替代課程。與國貿系1337課程併班上課

參考書目

R and Data Mining: Examples and Case Studies
Published by Elsevier
Yanchang Zhao