Found 3 comments on HN
Thanks for the link.

https://www.amazon.com/Elements-Statistical-Learning-Predict...

vs

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).

Thanks for the link.

https://www.amazon.com/Elements-Statistical-Learning-Predict...

vs

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).

stiff · 2013-09-09 · Original thread
The best introductory book and also the most cohesive one is "Learning from Data" from Yaser Abu-Mostafa, accompanied by great video lectures:

http://amlbook.com/

It differs from other books in that all the material is treated from the unified perspective of statistical learning theory and VC dimension, as a result the book feels less like a hodgepodge of unrelated techniques and more like an introduction to a coherent field.

Hastie and Tibshirani also have a new, less demanding mathematically book out:

http://www.amazon.com/Introduction-Statistical-Learning-Appl...

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