Difference between revisions of "Syllabus for Machine Learning with Large Datasets 10-605 in Spring 2014"

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* Wed Apr 30. In-class exam.
 
* Wed Apr 30. In-class exam.
 
** '''Assignment due: Multi-class image classification or scalable classification.'''
 
** '''Assignment due: Multi-class image classification or scalable classification.'''
 
== May ==
 
 
* 9am, Tuesday, May 7.  '''Project writeups due'''.  Submit a paper to Blackbook in PDF in the [http://icml.cc/2013/wp-content/uploads/2012/12/icml2013stylefiles.tar.gz ICML 2013 format] (minimum 5 pp, up to 8pp double column), except, of course, do not submit it anonymously.
 
** ''Note: this is extended from previous deadline of Fri May 3---but I can't give any further extensions!''  Your project report should discuss
 
*** The problem you're trying to solve, and why it's important and/or interesting.
 
*** Related work, especially any related work that you're building on.
 
*** The data that you're working with.
 
*** The methods that you're using (in some detail - even if these are off-the-shelf methods, I want to know that you understand them)
 
*** The experiments you did, the metrics you used to evaluate them, and the results.
 
*** What was learned from the experiments (the conclusions).
 
** You should think of this as an exercise in writing a conference-style paper: so try and write in that style.  (Of course, your work doesn't need to advance the state-of-the-art in machine learning, or be highly novel, but it should be well-described.)
 

Revision as of 18:08, 8 January 2014

This is the syllabus for Machine Learning with Large Datasets 10-605 in Spring 2014.

January

February

March

April and May