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个人介绍
数据科学导论（全英语）

主讲教师：Xiao Fu

教师团队：共1位

  • Xiao Fu
开课院系： School of Information Management
课程编号： 174080223
学分： 2
课时： 32
Course Information
This course covers core technologies in the field of data science, including data preprocessing, classification, clustering, recommender systems, and ensemble learning. It emphasizes finding the balance between the breadth, depth, and interest of knowledge. The course combines theory and practice. The lectures will be complemented by practical tasks using Python and scikit-learn.
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Faculty

Xiao Fu

职称：Lecturer

课程章节 教学资源 Reference Books Syllabus Teaching Plan

Course textbook: No textbook is required. 

Papers and other learning materials are available at the class web page.


Reference Books:

R. Duda, P. Hart & D. Stork, Pattern Classification (2nd edition), Wiley, 2000; 

C. M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006; 

T. Hastie, R. Tibshirani & J. Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd edition), Springer, 2009;

 Kevin Murphy, Machine Learning: A Probabilistic Perspective, The MIT Press, 2012

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