On Thu, Nov 17, 2011 at 5:09 PM, Virgile Fritsch <[email protected]> wrote: > Cool :-) > > You could: > > Add a semicolon between "Scikit-learn" and "machine learning in Python" in > the title (bottom of slides 2 and 3) ; I think you mean colon, just like in the title of the article on slide 2. Maybe since you're there, match the capitalization of {M}achine {L}earning for consistency?
Further observations: * Google suggests mean-shift or mean shift rather than meanshift; * I'd say gaussian processes, plural, instead of the singular form. * Maybe add spaces around operators in the code sample on slide 3? I like the colors, I think bright colors are great for a lightning presentation, as they attract attention but won't have the time to set in and become tiresome. It's also great that you were able to fit an example and its output on a slide, it really shows off scikit-learn and Python's terseness. Vlad ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-novd2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
