1、Welcome to Introduction to Machine Learning!2010.3.51*Images come from InternetCourse InstructorsIntroduction to Machine Learning: Introduction2Te a c h e r: ZHANG Min Associate Professor Information Retrieval Group DCST HP: http:/A little bit about Min Experiences Achieved Bachelor and PhD in 1999
2、and 2003 respectively in DCST , Tsinghua Uni. Now Associate Professor in THUIR group, CST Dept. Visiting scholar/researcher in NUS, DFKI (Germany), Kyo to University, City University of HongKong, MSRA, and NUS Research Interests: Information Retrieval & Recommendation, user behavior analysis, data m
3、ining, machine learning Achievements and Awards Published over 100 papers on important international conferences and journals on related fields SIGIR, IJCAI, WWW , CIKM, WSDM, JIR, JASIST , 3500 citations, H-index 32 (Google Scholar, Feb. 2019) Multiple T op Performances in TREC and NTCIR since 2002
4、. One of the top ranked Wo r l d -wide IR researchers Beijing Science and T echnology Progress Award, 1stprize, 2015 Excellent Y oung Faculty Teaching Award, Tsinghua UniversityInformation Retrieval: Introduction3A little bit about Min Academic Activities and Industry Connections Vice Director of th
5、e AI institute of CS Dept. Vice Director of MOE MSRA Key Lab on Web and multimedia,Tsinghua University Associate Editor of Transaction on Information Systems (TOIS) (CCF A journal) and reviewers for multiple top journals Program Chair of SIGIR19 Tu t o r i a l s , WSDM19 Wo r k s h o p , SIGIR18 Sho
6、rt Papers,EVIA19,WSDM17,AIRS16 Area Chair, Senior PC or PC for IJCAI, SIGIR, WWW , KDD, WSDM, CIKM, ACL Committee members of China Associations Chinese Information Processing Committee (CCF) Information Retrieval Committee (CIPS) Machine Learning Committee (CAAI) The first Machine Learning course in
7、 CS Dept., Tsinghua Univ. (since 2003)Information Retrieval: Introduction4Course InformationIntroduction to Machine Learning: Introduction5 Key points Basic concepts Fundamental learning theory Classical / Important algorithms Problem definition Basic idea Algorithm design and analysis Future work Analyses (problem, features, results) Ability to solve practical problems
