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

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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


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SLIDE 1

Advanced Machine Learning

CS 7140 - Spring 2018

Syllabus

Jan-Willem van de Meent

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SLIDE 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

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SLIDE 3

Syllabus

https://www.ccs.neu.edu/home/jwvdm/teaching/cs7140/spring2019/

Google (Feeling Lucky): “meent 7140 spring 2019”

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SLIDE 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)

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SLIDE 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
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SLIDE 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

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SLIDE 7

Grading

  • Homework: 30%
  • Scribing: 20%
  • Exams: 30%
  • Project: 20%
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SLIDE 8

Textbooks

Barber (also freely available) Bishop (freely available)