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Machine Learning Cheat Sheet Map

scikit-learn.org

11–18 of 18 posts

Re: Machine Learning Cheat Sheet Map

#11
post #10

"This project has been temporarily blocked for exceeding its bandwidth threshold" I wonder why no one uses SourceForge anymore..

What's going on here? The page is hosted on the scikit-learn.org domain, and I don't see any redirects or frames pointing to SourceForge. Or is SourceForge allowing projects to point arbitrary domains at it?

Re: Machine Learning Cheat Sheet Map

#12
It's currently down - is it the same one discussed at some length a year ago?

https://news.ycombinator.com/item?id=5831512

Here are some other resources for machine learning, not necessarily restricted to the algorithms implemented in SciKit:

http://eferm.com/wp-content/uploads/2011/05/cheat3.pdf

http://peekaboo-vision.blogspot.ca/2013/01/machine-learning-...

http://rise.cse.iitm.ac.in/wiki/index.php/Introduction_to_Ma...

http://mlg.eng.cam.ac.uk/creed/Notes/ML_Compendium.pdf

Re: Machine Learning Cheat Sheet Map

#13
post #10

"This project has been temporarily blocked for exceeding its bandwidth threshold" I wonder why no one uses SourceForge anymore..

I feel like that's SourceForge's job. When something gets excitement, that's the last time you want to throw up a page like this. Poor user experience. Would, say, GitHub do this?

I suppose something else could be afoot, but I feel like controls should be in place for that elsewhere, e.g. you can't upload a gigantic binary.

Re: Machine Learning Cheat Sheet Map

#17
post #10

"This project has been temporarily blocked for exceeding its bandwidth threshold" I wonder why no one uses SourceForge anymore..

What's going on here? The page is hosted on the scikit-learn.org domain, and I don't see any redirects or frames pointing to SourceForge. Or is SourceForge allowing projects to point arbitrary domains at it?

Yes it's hosted on SF with a CNAME dns entry. We want to move to github but we need to update the website build infra to do so.

Re: Machine Learning Cheat Sheet Map

#18
post #4

The "text data" decision point seems arbitrary and in my opinion, not useful. I've analyzed text data with a Naive Bayes a classifier as well as SVM. I really like what the chart is trying to be, but I think it is editorializing too much.

That entire map is complete and utter baloney as a general guide, though it may mean something in terms of skikit-learn.

Hastie has a decent classification of the strengths and weaknesses of different learning algorithms in his book. It's not a decision tree. It will never be a decision tree.

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