Hey everybody.
Here is a rough evaluation of the user survey.
I am pretty sure there is no sensitive data in it, so I think I will
send around the full CSV after
we closed it.
For now, some numbers:
There are 306 answers currently.
Academic Background:
Computer Science
181 60%
Engineering (Electric, Computer, IT related)
75 25%
Engineering (Oil, Civil, non IT Related)
9 3%
Biology / Medicine
38 13%
Chemistry
10 3%
Physics / Astronomy
29 10%
Math / Statistics
56 18%
Social Sciences/Economy
16 5%
Self Taught
24 8%
Other
22 7%
Current occupation:
Academic Research (Student, Professor, PostDoc, ...)
174 57%
Industry (Analyst, Programmer, ...)
110 36%
Hobbyist
7 2%
Other
14 5%
Algorithms that users want to see:
Neural Networks / Deep learning
84
Structured Prediction 32
Latent Dirichlet Allocation 12
Adaboost 9
Logistic Regression 5
Things we should improve:
Sparse support 51
Python3 24
Parallelism 22
Dataset Loading 20
Nothing 18
GPU/CUDA 12
Organization of Docs 11
Visualization 11
Online Learning 12
Pandas Integration 9
Time Series 8
The last one was primed for Sparse support, Py3k and dataset loading, as
these were suggested in the question.
I didn't differentiate between "what is annoying" and "what would you
like to see" here.
The last two tables are manually extracted from the text fields so may
not be 100% accurate,
but I tried my best.
I recommend looking at the full survey to get some sort of impression.
I think we should remove the links now and then close the survey.
Then I'll do a final evaluation and a blog post ;)
Cheers,
Andy
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