Hey Colorado and Roger.
Thanks for your mail. Your project sounds very interesting.
I haven't heard about it before, though. Is any one else on the list
familiar with it?
I have to concerns about adding it to the documentation:
1) I am not familiar with it and therefore have no way of judging the
content. Maybe some other core devs do?
2) I am not sure how large the benefit would be. The documentation
contains "see also" and "references" sections. You site basically seems
to provide (very) advanced versions of these. From a user perspective,
this seems to be an additional indirection.
So if a user reads about a method, it seems easier to just give
"Elements of statistical learning" as a reference instead of linking to
metacademy, which then gives the reference.
What do you think?
Cheers,
Andy
On 11/08/2013 01:10 PM, colorado reed wrote:
Hello,
We're contributors to the open source project Metacademy
(http://www.metacademy.org http://github.com/metacademy), which is
creating a curated web of machine learning concepts. The idea is that
Metacademy can tell users how to efficiently learn a concept and all
of its necessary prerequisites given their current knowledge. One of
the motivations for this project was to help practitioners with
varying backgrounds learn the intricacies of the algorithms they use
(without spending a few months taking an online course or a few
thousand dollars taking a traditional one).
Here's a quick example of a learning plan:
http://metacademy.org/graphs/concepts/logistic_regression
(click the graph button in the upper right to visualize the
prerequsite structure)
(try clicking a few check marks of the concepts you know and pressing
"hide" in the toolbox in the upper right -- this creates a
personalized learning plan)
We thought adding pointers to metacademy concepts in the SKL
documentation could help interested practitioners gain a deeper
understanding of these concepts. But rather than changing the
documentation willy-nilly and making pull requests, we thought we
should contact the current contributors and see whether they feel this
idea could benefit SKL. We currently have over 300 annotated concepts,
which covers most of the functionality present in SKL, and we are
happy to add any missing concepts that SKL users/contributors feel
would benefit the documentation.
best wishes
Colorado Reed & Roger Grosse
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