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Syllabus Jan-Willem van de Meent Who are we? Instructor - PowerPoint PPT Presentation

Advanced Machine Learning CS 7140 - Spring 2018 Syllabus Jan-Willem van de Meent Who are we? Instructor Jan-Willem van de Meent Email : j.vandemeent@northeastern.edu Phone : +1 617 373-7696 Office Hours : Mon 4pm - 6pm 177


  1. Advanced Machine Learning CS 7140 - Spring 2018 Syllabus Jan-Willem van de Meent

  2. Who are we? Instructor Jan-Willem van de Meent Email : j.vandemeent@northeastern.edu 
 Phone : +1 617 373-7696 
 Office Hours : Mon 4pm - 6pm 
 177 Huntington, 9th Floor Teaching Assistant Heiko Zimmermann E-mail: zimmermann.h@husky.neu.edu 
 Office Hours: Thu 5pm - 6pm 
 Office: 177 Huntington, 9th Floor

  3. Syllabus https://www.ccs.neu.edu/home/jwvdm/teaching/cs7140/spring2019/ Google (Feeling Lucky): “meent 7140 spring 2019”

  4. Homework Problems • 5 problem sets, 30% of grade • Python encouraged. If you would like to use other languages please check with TA. • Discussion is encouraged, but submissions 
 must be completed individually 
 (absolutely no sharing of code) • Submission via zip file on blackboard 
 by 11.59pm on day of deadline 
 (10% reduction of grade per day late)

  5. Scribing • Each lecture 2-3 assigned scribes will make notes • Notes should be submitted as PDF files 
 (preferably in LaTeX) • Deadline: one week after lecture • Heiko (your TA) will share a template on Overleaf

  6. Project • Goal: Implement and test one 
 state-of-the-art method • Will give examples of possible projects after midterm • Group size 2-3 members • Amount of work should be equivalent 
 to ~2 homework assignments

  7. Grading Homework: 30% • Scribing: 20% • Exams: 30% • Project: 20% •

  8. Textbooks Barber Bishop (also freely available) (freely available)

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