|(New!) my two Mandarin-teaching MOOCs Machine Learning Foundations and Machine Learning Techniques have attracted more than 40K online students in total. Visit here for slides and more!||(New!) my co-authored book Learning from Data: A Short Course is available for sale on Amazon, and is consistently one of the best sellers.|
|(Taken on Mar. 12, 2009, Room 314, NTU CSIE)|
Prof. Hsuan-Tien Lin received a B.S. in Computer Science and Information Engineering from National Taiwan University in 2001, an M.S. and a Ph.D. in Computer Science from California Institute of Technology in 2005 and 2008, respectively. He joined the Department of Computer Science and Information Engineering at National Taiwan University as an assistant professor in 2008, and has been an associate professor since August 2012. He is a consultant to Appier, a startup company that specializes in online advertisement.
Prof. Lin received the Distinguished Teaching Award from the university in 2011, and the Outstanding Mentoring Award from the university in 2013. He co-authored the introductory machine learning textbook Learning from Data and offered two popular Mandarin-teaching MOOCs Machine Learning Foundations and Machine Learning Techniques based on the textbook. His research interests include theoretical foundations of machine learning, studies on new learning problems, and improvements on learning algorithms. He received the 2012 K.-T. Li Young Researcher Award from the ACM Taipei Chapter, and the 2013 D.-Y. Wu Memorial Award from National Science Council of Taiwan. He co-led the teams that won the third place of KDDCup 2009 slow track, the champion of KDDCup 2010, the double-champion of the two tracks in KDDCup 2011, the champion of track 2 in KDDCup 2012, and the double-champion of the two tracks in KDDCup 2013. He served as the Secretary General of Taiwanese Association for Artificial Intelligence between 2013 and 2014.
Last updated at CST 15:57, May 28, 2015
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