109年第1學期-1342 大數據機器學習導論-使用R語言 課程資訊

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Teams 連結清單

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評分方式

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

選課分析

本課程名額為 40人,已有15 人選讀,尚餘名額25人。

授課教師

姜自強

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.

課程資訊

參考書目

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