Thanks a lot ... I'm in too [?] Cheers, Eraldo
On Tue, Nov 26, 2013 at 9:56 PM, Jaques Grobler <[email protected]>wrote: > Thanks for the share +1 > > > 2013/11/26 Sam Bessalah <[email protected]> > >> Cant wait for you to teach me some R Olivier ;) >> I enrolled ;) >> >> Sam Bessalah >> >> > On Nov 26, 2013, at 7:04 PM, Olivier Grisel <[email protected]> >> wrote: >> > >> > >> https://class.stanford.edu/courses/HumanitiesScience/StatLearning/Winter2014/about >> > >> > """ >> > This is an introductory-level course in supervised learning, with a >> > focus on regression and classification methods. The syllabus includes: >> > linear and polynomial regression, logistic regression and linear >> > discriminant analysis; cross-validation and the bootstrap, model >> > selection and regularization methods (ridge and lasso); nonlinear >> > models, splines and generalized additive models; tree-based methods, >> > random forests and boosting; support-vector machines. Some >> > unsupervised learning methods are discussed: principal components and >> > clustering (k-means and hierarchical). >> > >> > This is not a math-heavy class, so we try and describe the methods >> > without heavy reliance on formulas and complex mathematics. We focus >> > on what we consider to be the important elements of modern data >> > analysis. Computing is done in R. There are lectures devoted to R, >> > giving tutorials from the ground up, and progressing with more >> > detailed sessions that implement the techniques in each chapter. >> > >> > The lectures cover all the material in An Introduction to Statistical >> > Learning, with Applications in R by James, Witten, Hastie and >> > Tibshirani (Springer, 2013). As of January 5, 2014, the pdf for this >> > book will be available for free, with the consent of the publisher, on >> > the book website. >> > """ >> > >> > I have just registered :) >> > >> > -- >> > Olivier >> > http://twitter.com/ogrisel - http://github.com/ogrisel >> > >> > >> ------------------------------------------------------------------------------ >> > Rapidly troubleshoot problems before they affect your business. Most IT >> > organizations don't have a clear picture of how application performance >> > affects their revenue. With AppDynamics, you get 100% visibility into >> your >> > Java,.NET, & PHP application. Start your 15-day FREE TRIAL of >> AppDynamics Pro! >> > >> http://pubads.g.doubleclick.net/gampad/clk?id=84349351&iu=/4140/ostg.clktrk >> > _______________________________________________ >> > Scikit-learn-general mailing list >> > [email protected] >> > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >> >> >> ------------------------------------------------------------------------------ >> Rapidly troubleshoot problems before they affect your business. Most IT >> organizations don't have a clear picture of how application performance >> affects their revenue. With AppDynamics, you get 100% visibility into your >> Java,.NET, & PHP application. Start your 15-day FREE TRIAL of AppDynamics >> Pro! >> >> http://pubads.g.doubleclick.net/gampad/clk?id=84349351&iu=/4140/ostg.clktrk >> _______________________________________________ >> Scikit-learn-general mailing list >> [email protected] >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >> > > > > ------------------------------------------------------------------------------ > Rapidly troubleshoot problems before they affect your business. Most IT > organizations don't have a clear picture of how application performance > affects their revenue. With AppDynamics, you get 100% visibility into your > Java,.NET, & PHP application. Start your 15-day FREE TRIAL of AppDynamics > Pro! > http://pubads.g.doubleclick.net/gampad/clk?id=84349351&iu=/4140/ostg.clktrk > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > >
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