Apparently there is nobody else interested.
So Jake how shall we proceed? Do you want to submit an introductory
tutorial on machine learning with scikit-learn, I submit the advanced
one and we act as Teach Assistant to each other sessions as we did
last year? Or do you want to do more of a combined submission where we
both teach in the two sessions?
BTW, I recently received the feedback from last year's session. Only 2
people answered the feedback survey but both were quite happy.
Title: Advanced Machine Learning with scikit-learn
Rating answers followed by response to the open-ended question "Do you
have any additional comments about this tutorial or suggestions for
improvement?".
Aw Po OK Go Ex Avg Question (1.00 <= Average <= 5.00, based on
1=Awful, 2=Poor, 3=OK, 4=Good, 5=Excellent)
-- -- -- -- -- --- --------
0 0 0 0 2 5.00 The tutorial content quality
0 0 0 1 1 4.50 The tutorial content being presented in a form
you could easily understand
0 0 0 0 2 5.00 The tutorial content relative to your expectations
0 0 0 0 2 5.00 The handout and sample files (if applicable)
0 0 0 0 2 5.00 The instructor(s), overall
0 0 0 0 2 5.00 The instructor's preparation
0 0 0 1 1 4.50 The instructor's teaching ability
0 0 0 1 1 4.50 The tutorial's success at helping you learn
significant new skills
0 0 0 0 2 5.00 How well the tutorial was adapted to or handled
the size of the class
0 0 0 1 1 4.50 The internet connection during the tutorial
0 0 0 1 1 4.50 The amount of room at your table
0 0 0 0 2 5.00 Overall satisfaction (value for time & money)
0 0 1 1 0 3.50 How was the speed of the tutorial?
0 0 1 1 0 3.50 How was the difficulty level of the tutorial?
Do you have any additional comments about this tutorial or
suggestions for improvement? - Open-Ended Response
EXCEPTIONALLY effective use of iPython notebooks. Thank you for
covering this topic, I used to have to implemented SVM classifiers and
such in C++ when I was a researcher, nice to know that if I ever go
back to it it's already all there in Python.
--
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel
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