"This project has been temporarily blocked for exceeding its bandwidth threshold" I wonder why no one uses SourceForge anymore..
Machine Learning Cheat Sheet Map
11–18 of 18 posts
Re: Machine Learning Cheat Sheet Map
#12https://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...
Re: Machine Learning Cheat Sheet Map
#13"This project has been temporarily blocked for exceeding its bandwidth threshold" I wonder why no one uses SourceForge anymore..
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
#14Re: Machine Learning Cheat Sheet Map
#15Re: Machine Learning Cheat Sheet Map
#16Re: Machine Learning Cheat Sheet Map
#17"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
#18The "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.
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.