November 18th 2008
The book description was really appetizing: Machine Learning applied to the Internet, so it should be easy to understand, and Python as the mean to compute. Unfortunately, contrary to what I saw in different reviews, I was not pleased with the book, and here is why.
Continue Reading »
(1 votes, average: 5.00 out of 5)
Loading ...June 27th 2008
My manifold learning code was for some time a Technology Preview in the scikit learn. Now I can say that it is available (BSD license) and there should not be any obvious bug left..
I’ve written a small tutorial. It is not an usual tutorial (there is a user tutorial and then what developers should know to enhance it), and some results of the techniques are exposed in my blog. It provides the basic commands to start using the scikit yourself (reducing some data, projecting new points, …) as well as the expoed interface to enhance the scikit.
If you have any question, feel free to ask me, I will add the answers to the tutorial page so that everyone can benefit from it.
Be free to contribute new techniques and additional tools as well, I cannot write them all ! For instance, the scikit lacks some robust neighbors selection to avoid short-cuts in the manifold…
Tutorial and the learn scikit mainpage.
(No Ratings Yet) Loading ... (5.00 out of 5) (5.00 out of 5) (5.00 out of 5) (3.00 out of 5)
8,292,587 |
115 |
98 |
21 |
