2012/2/27 Mathieu Blondel <[email protected]>: > Hi Jake, > > The section on bias / variance is great! I'm gonna read the rest of > the materials later but this looks really interesting.
The section on bias / variance trade off is indeed great. However I am not sure whether the attendee of the pydata workshop would like to learn about those (important concepts) or would rather like see scikit-learn in action. Also the manifold section might be a bit too mathematical for a general programmer audience that might have forgotten the math classes from college. 2 improvements: - in the section on General concepts: drop the useless header for http://jakevdp.github.com/tutorial/astronomy/general_concepts.html#general-concepts that will make the general toc tree more balanced / informative: http://jakevdp.github.com/tutorial/astronomy/index.html - in this chart: http://jakevdp.github.com/_images/plot_ML_flow_chart_2.png the API called on the test set should be X_new = vec.transform(input) instead of fit_transform Very interesting red by the way. # Unlocked achievement: Quasar Recognition # -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ Try before you buy = See our experts in action! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-dev2 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
