kercker

48 ms·

1. 511.▲
   Software Architecture and Design Tutorial(tutorialspoint.com)

   3 points by kercker 10y ago|0 comments
2. 512.▲
   What is a software architecture?(2006)(ibm.com)

   4 points by kercker 10y ago|0 comments
3. 513.▲
   On the (Small) Number of Atoms in the Universe(norvig.com)

   2 points by kercker 10y ago|0 comments
4. 514.▲
   The Complete Works of William Shakespeare(shakespeare.mit.edu)

   2 points by kercker 11y ago|0 comments
5. 515.▲
   Effective Python › the Book(effectivepython.com)

   5 points by kercker 11y ago|1 comments
6. 516.▲
   Raft – Understandable Distributed Consensus: An Illustrated Guide(thesecretlivesofdata.com)

   4 points by kercker 11y ago|0 comments
7. 517.▲
   Race for AI: Google, Facebook, Amazon, Apple Grab AI Startups(cbinsights.com)

   3 points by kercker 11y ago|0 comments
8. 518.▲
   Deep Learning for Natural Language Processing(webcourse.cs.technion.ac.il)

   5 points by kercker 11y ago|0 comments
9. 519.▲
   by kercker 11y ago

   From answers given by some CS professors on Quora, just a cert from a MOOC means nothing to them if you are applying for PhD. What they really care is if you have mastered the techniques you got from learning the MOOC.
10. 520.▲
    How a Car Engine Works(animagraffs.com)

    404 points by kercker 11y ago|123 comments
11. 521.▲
    Fun Stuff(yann.lecun.com)

    1 points by kercker 11y ago|0 comments
12. 522.▲
    Welcome to the AI Conspiracy: The ‘Canadian Mafia’ (2015)(recode.net)

    41 points by kercker 11y ago|4 comments
13. 523.▲
    Probability Cheatsheet(github.com)

    3 points by kercker 11y ago|0 comments
14. 524.▲
    Semantic Mining of Social Networks [pdf](keg.cs.tsinghua.edu.cn)

    47 points by kercker 11y ago|1 comments
15. 525.▲
    Scikit-learn algorithm cheat-sheet(scikit-learn.org)

    2 points by kercker 11y ago|0 comments
16. 526.▲
    Introduction to Boosted Trees [pdf](homes.cs.washington.edu)

    60 points by kercker 11y ago|10 comments
17. 527.▲
    Effective Scala(twitter.github.io)

    1 points by kercker 11y ago|0 comments
18. 528.▲
    Introduction to Conditional Random Fields(blog.echen.me)

    1 points by kercker 11y ago|0 comments
19. 529.▲
    Geometric Folding Algorithms: Linkages, Origami, Polyhedra(ocw.mit.edu)

    2 points by kercker 11y ago|0 comments
20. 530.▲
    A collection of design patterns/idioms in Python(github.com)

    3 points by kercker 11y ago|0 comments
21. 531.▲
    Mobius App released to empower MIT maker community(news.mit.edu)

    3 points by kercker 11y ago|0 comments
22. 532.▲
    We Recommend a Singular Value Decomposition(ams.org)

    1 points by kercker 11y ago|0 comments
23. 533.▲
    KDD Cup 2016(kddcup2016.azurewebsites.net)

    2 points by kercker 11y ago|0 comments
24. 534.▲
    AMiner – Toward understanding big scholar data [pdf](keg.cs.tsinghua.edu.cn)

    2 points by kercker 11y ago|0 comments
25. 535.▲
    by kercker 11y ago

    >"I mean, that's like asking whether marathon runners have a future now that we've got cars." I don't think they are the same things. Marathon is about the physical limit of human beings, while Go is about menta
26. 536.▲
    by kercker 11y ago

    I'm wondering what the name - gensim - means.
27. 537.▲
    Interview with Radim Rehurek, creator of gensim(2012)(williambert.online)

    1 points by kercker 11y ago|1 comments
28. 538.▲
    An Introduction to Programming in Go(golang-book.com)

    1 points by kercker 11y ago|0 comments
29. 539.▲
    by kercker 11y ago

    The labs are great to learn the basics of distributed systems.
30. 540.▲
    6.824 Distributed Systems: Spring 2016(nil.csail.mit.edu)

    2 points by kercker 11y ago|1 comments