Man has created many sophisticated modelling tools, all of which have different strengths and weaknesses. A good ‘solution’ or ‘description’ of a problem should not be overly complex (parsimony) and also have high descriptive power. Let’s look at how some of these cutting edge tools compare to Nutonian‘s symbolic regression / evolutionary computation product Eureqa:

from: http://blog.nutonian.com/bid/330675/How-does-Eureqa-Compare-to-Other-Machine-Learning-Methods#!
Looks like we get highly efficient yet incredibly accurate models. Huzzah! Don’t believe me? try it yourself. They “ran Eureqa on seven test-cases for which data is publically available, and compared performance to four standard machine learning methods. The implementations used were the WEKA codes, with settings optimized for best performance”. Weka is free and the Eureqa trial version is free.
Enjoy the full post here
Unfortunately I think Hod’s interpretation of NFL isn’t quite there, though. 😉
