Hello all,
Olivier and I have been discussing submitting scikit-learn tutorials for 
PyCon 2013 next March.  He would like to cover some more advanced topics 
such as categorical feature extraction for text, multicore parallelism, 
model selection via parallel grid search, etc.  Based on feedback from 
his tutorial last year, it seems that it would be better to split these 
advanced topics from the more introductory topics.

Our plan is to propose two tutorials: I'll submit an intro to machine 
learning with scikit-learn, based on the material I covered at Scipy 
2012 (http://astroML.github.com/sklearn_tutorial).  Olivier will submit 
a more advanced tutorial which lists my material as a prerequisite, 
along with a note saying that if only one of the two can be accepted, 
the introductory tutorial should take precedence.  We'll work together 
to make sure the two tutorials work well in sequence.

Submissions are due by the end of next week, so we'll be working on them 
soon.  Please let us know if you have any feedback or suggestions.  Thanks!
    Jake

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