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efta-02343599DOJ Data Set 11Other

EFTA02343599

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DOJ Data Set 11
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efta-02343599
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From: Vincenzo lozzc Sent: Sunday, September 28, 2014 3:12 PM To: jeffrey E. Subject: Fwd: links She =aid she owes you a lot for her choice of career path and that she =asn't seen you in a long time, I figured you'd like to know she's =nteresting in machine learning these days and thinking about switching =obs Begin forwarded message: From Subject: =/b>Re: =inks Date: =/b>28 settembre 2014 =1:06:20 GMT-4 To: =/b>Vincenzo lozzo =It, </=iv> &=t; Hi Vincenzo - I've started to read The =lements of Statistical Learning and I am enjoying it very much! At my =urrent job I look at patterns of commodity prices but it is very =imiting. It is so interesting how this can be applied to other fields =specially how outcomes can be predicted. Fascinating! Thanks for =haring this book. On Sat, Sep 27, 2014 at 9:28 AM, Vincenzo lozzo =span dir="ltr">< =rote: very nice meeting you yesterday. Here are a few links you might find =seful. 1) The class at Harvard on Data Science http://cs109.github.io/2014/ Here are the videos: http://cm.dce.harvard.edu/2014/01/14328/publicationListi=g.shtml 2) This is the free online course by that professor at Stanford I was =alking to you about: https://www.coursera.org/course/ml 3)Here's the book, as I said it's quite heavy but given your background =t should be ok: http://web.stanford.eduhhastie/local.ftp/Springer/OLD/E=Lll_print4.pdf Let me know if I can help somehow, Vincenzo EFTA_R1_01311829 EFTA02343599 2 EFTA_R1_01311830 EFTA02343600

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Phone2343599
Phone2343600
URLhttp://cm.dce.harvard.edu/2014/01/14328/publicationListi=g.shtml
URLhttp://cs109.github.io/2014
URLhttp://web.stanford.eduhhastie/local.ftp/Springer/OLD/E=Lll_print4.pdf
URLhttps://www.coursera.org/course/ml

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