This post has been automatically generated. I use this blog to collect links that I have bookmarked. All activity is automated.
One of the requests there was to provide some sort of flow chart on how to do machine learning.
As this is clearly impossible, I went to work straight away.
This is the result:
Needless to say, this sheet is completely authoritative.
Thanks to Rob Zinkov for pointing out an error in one yes/no decision.
More seriously: this is actually my work flow / train of thoughts whenever I try to solve a new problem. Basically, start simple first. If this doesn’t work out, try something more complicated.
The chart above includes the intersection of all algorithms that are in scikit-learn and the ones that I find most useful in practice.
Only that I always start out with “just looking”. To make any of the algorithms actually work, you need to do the right preprocessing of your data – which is much more of an art than picking the right algorithm imho.
Anyhow, enjoy 😉
via Hacker News http://peekaboo-vision.blogspot.de/2013/01/machine-learning-cheat-sheet-for-scikit.html