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That's why they wrote Introduction to Statistical Learning[0] and also a video series for the same book[1]. Both books and the video classes are a must for anyo
by thegginthesky 6y ago
That's why they wrote Introduction to Statistical Learning[0] and also a video series for the same book[1]. Both books and the video classes are a must for anyone working with Machine Learning and/or Statistics.
[0] http://faculty.marshall.usc.edu/gareth-james/ISL/ http://faculty.marshall.usc.edu/gareth-james/ISL/
[1] https://www.youtube.com/watch?v=5N9V07EIfIg&list=PLOg0ngHtcqbPTlZzRHA2ocQZqB1D_qZ5V https://www.youtube.com/watch?v=5N9V07EIfIg&list=PLOg0ngHtcq...
- michaericalribo 6y agoDefinitely. And hell, EoSL is a _wide_ survey, and some of the content is only adjacent to ML. Eg, MCMC for Bayesian models: there are good applications in ML, and a short bit in EoSL about the Gibbs sampler, but there’s a massive parallel literature in the statistical inference world.
- jimsparkman 6y ago[0] returned a 404, but this appears to be substitute: https://statlearning.com/ https://statlearning.com/
- thegginthesky 6y agoHmm weird, it works for me. Thanks for the alternative link
- LaserPineapple 6y agoAnd a second edition of ISLR is "coming soon" [1]. [1] https://twitter.com/daniela_witten/status/1261693624439279616?s=19 https://twitter.com/daniela_witten/status/126169362443927961...