helwr

16 ms·

1. 121.▲
   I want to learn how to program compilers(reddit.com)

   1 points by helwr 15y ago|0 comments
2. 122.▲
   Parallel and Distributed Computation:Numerical Methods(dspace.mit.edu)

   4 points by helwr 15y ago|0 comments
3. 123.▲
   by helwr 15y ago

   I found this gem there: http://dspace.mit.edu/handle/1721.1/3719
4. 124.▲
   DSpace at MIT(dspace.mit.edu)

   11 points by helwr 15y ago|3 comments
5. 125.▲
   Skip lists in Python(infohost.nmt.edu)

   60 points by helwr 15y ago|17 comments
6. 126.▲
   by helwr 15y ago

   pretty good notes by Santoro, also see http://news.ycombinator.com/item?id=2670205 http://news.ycombinator.com/item?id=2635572 http://news.ycombinator.com/item?id=2593998
7. 127.▲
   15-499: Parallel Algorithms (Guy Blelloch)(cs.cmu.edu)

   40 points by helwr 15y ago|3 comments
8. 128.▲
   Learning Deep Architectures for AI (Yoshua Bengio)(iro.umontreal.ca)

   4 points by helwr 15y ago|0 comments
9. 129.▲
   Bertrand Russell: In Praise of Idleness(zpub.com)

   3 points by helwr 15y ago|0 comments
10. 130.▲
    The NSA Releases Over 50k Pages of Declassified Documents(fas.org)

    1 points by helwr 15y ago|1 comments
11. 131.▲
    Andrew Ng: Machine Learning in Robotics(youtube.com)

    63 points by helwr 15y ago|6 comments
12. 132.▲
    Etsy CTO: How does Etsy manage development and operations(quora.com)

    3 points by helwr 15y ago|0 comments
13. 133.▲
    CairoPlot(linil.wordpress.com)

    2 points by helwr 15y ago|0 comments
14. 134.▲
    Great SVG tutorial(w3.org)

    3 points by helwr 15y ago|0 comments
15. 135.▲
    Graphication(aeracode.org)

    1 points by helwr 15y ago|0 comments
16. 136.▲
    NAG C numerical library(nag.co.uk)

    1 points by helwr 15y ago|0 comments
17. 137.▲
    HPCC: LexisNexis's alternative to Hadoop is now open source(hpccsystems.com)

    4 points by helwr 15y ago|0 comments
18. 138.▲
    Large Scale Learning(leon.bottou.org)

    1 points by helwr 15y ago|0 comments
19. 139.▲
    Senna: a fast NLP tagger(ml.nec-labs.com)

    4 points by helwr 15y ago|0 comments
20. 140.▲
    by helwr 15y ago

    Also note that this book is not for the faint of heart. For introductory material you may want to take a look at some of these courses: Shalizi, 35-350: http://www.stat.cmu.edu/~cshalizi/350/ Shalizi, 36-402: http://www.stat.cmu.edu/~csh
21. 141.▲
    by helwr 15y ago

    check out some of these self-study guides: What are some good "toy problems" in data science? http://www.quora.com/Programming-Challenges-1/What-are-some-... What are some good resources for learning about machine learning? http://www.qu
22. 142.▲
    Big data on micro servers? You bet.(gigaom.com)

    2 points by helwr 15y ago|0 comments
23. 143.▲
    by helwr 15y ago

    note that it's a draft and some pages are missing. There is a course by one of the authors with good lecture notes: http://www.stat.purdue.edu/~vishy/introml/introml.html
24. 144.▲
    Introduction To Machine Learning (Smola & Vishwanathan)(alex.smola.org)

    90 points by helwr 15y ago|4 comments
25. 145.▲
    Hacker challenge: Can you make a keygen?(a1k0n.net)

    2 points by helwr 15y ago|0 comments
26. 146.▲
    Hashing for Collaborative Filtering(blog.smola.org)

    2 points by helwr 15y ago|0 comments
27. 147.▲
    ICML11 accepted papers(icml-2011.org)

    1 points by helwr 15y ago|0 comments
28. 148.▲
    From Languages to Information (Dan Jurafsky)(stanford.edu)

    2 points by helwr 15y ago|0 comments
29. 149.▲
    NLP with Prolog in IBM Watson(cs.nmsu.edu)

    49 points by helwr 15y ago|14 comments
30. 150.▲
    by helwr 15y ago

    Cheers