4 ms·
Why not a book instead like the elements of statistical learning? http://statweb.stanford.edu/~tibs/ElemStatLearn/download.html http://statweb.stanford.edu/~ti
by egdamy 10y ago
Why not a book instead like the elements of statistical learning?
http://statweb.stanford.edu/~tibs/ElemStatLearn/download.html http://statweb.stanford.edu/~tibs/ElemStatLearn/download.htm...
- hackernewsacct 10y agoBased on Amazon reviews recommending this book to a beginner is like recommending rudin to a high school junior that wants to learn calculus for the first time. Is there a better book?
- smalley 10y agoIntroduction to Statistical Learning? It's free and has an available MOOC http://www-bcf.usc.edu/~gareth/ISL/ http://www-bcf.usc.edu/~gareth/ISL/
- hackernewsacct 10y agoThanks for the link. https://www.amazon.com/Elements-Statistical-Learning-Prediction-Statistics/dp/0387848576 https://www.amazon.com/Elements-Statistical-Learning-Predict... vs https://www.amazon.com/Introduction-Statistical-Learning-Applications-Statistics/dp/1461471370/ref=pd_sbs_14_img_0/154-7991761-3362320?_encoding=UTF8&psc=1&refRID=YG2KQEC1JWSP85B5P1K0 https://www.amazon.com/Introduction-Statistical-Learning-App... The former seems to assume prior knowledge and the latter seems more beginner friendly, except it uses R (in case anyone wants the distinction).
- gubbe 10y agoThese books assume some degree of Linear Algebra, ESL is definitely not for a entry level. I would like to add www.codingthe matrix.com for any developers, which has a MOOC as well (Coursera), as a complement to Strang.
- disgruntledphd2 10y agoR is well worth learning if you're going to be doing any serious work with data. It's a weird-ass language, but it does data analysis/graphing/modelling really, really well.
- rmonroe 10y agoI support this statement. Not a book for beginners, IMO
- windsignaling 10y agoThis is in no way appropriate for someone who is asking for math basics. A lot of the material in this book makes much more sense having had experience coding machine learning algorithms.