On 03/22/2015 07:57 PM, Raghav R V wrote: > > 2. Given that there is a huge interest among students in learning > about ML, do you think it would be within the scope of/beneficial to > skl to have all the exercises and/or concepts, from a good quality > book (ESL / PRML / Murphy) or an academic course like NG's CS229 (not > the less rigorous coursera version), implemented using sklearn? Or > perhaps we could instead enhance our tutorials and examples, to be a > self study guide to learn about ML? > I have included this in my GSoC proposal but was not quite sure if > this would be an useful idea!! > We cover most of the algorithms in ESL. We don't want to cover all of PRML / Murphy, as we don't want to include general graphical models, and some of the Bayesian models we have need polish before we include more. For exercises: As far as I can see / remember, all exercises are mathematical, and mostly proofs. I don't see how scikit-learn would help with that.
For practical purposes, I currently know of 2 (3?) sklearn books published with PACKT. There is also an OReilly book coming up: http://shop.oreilly.com/product/0636920030515.do ------------------------------------------------------------------------------ Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
