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University of WashingtonTCSS 4551introduction1

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TCSS455 Introduction to Machine Learning Dr. Martine De Cock Spring 2019Instructor • Martine De Cock • office: MDS 206E • phone: +1 253 692 4540 • e-mail: mdecock@uw.edu • lectures: ... Tue/Thu 1:30-3:30pm, KEY102 • office hours: – Tue/Thu after class – by appointment (use e-mail) – or anytime my office door is open (MDS 206E) 2Course website • available on Canvas http://canvas.uw.edu/ • contains: – syllabus – slides – handouts – papers – homework assignments – up to date schedule with reading assignments – ... 3Textbook • Tom Mitchell, Machine Learning (McGraw-Hill) • schedule on Canvas contains reading assignments per lecture • before the lecture: skim through the material • after the lecture: read the text carefully • make sure that you understand all the assigned reading material • we will (or can) not cover it all in the lectures but it might still be on a homework or a test 4Other resources • Additional reading materials on Canvas – deep learning (required reading) – ensemble methods (required reading) – clustering (required reading) – interesting papers (optional) • https://courses.cs.washington.edu/courses/csep546/16sp/ – P. Domingos, UW Seattle – see link to “Video Archives” (optional) 5Grading • 3 homeworks (15%) – homework is due at the beginning of the lecture on the due date – I will automatically accept 1 assignment up to 1 lecture late; no questions asked, no documentation required • midterm exam (15%) – open book; closed notes • final exam (35%) – open book; closed notes • term project (35%) [Show More]

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