haifeng

10 ms·

1. 31.▲
   Statistical computing with Java/Scala(haifengl.github.io)

   1 points by haifeng 9y ago|0 comments
2. 32.▲
   At record high, Bitcoin is still fundamentally wrong as a currency(linkedin.com)

   4 points by haifeng 9y ago|0 comments
3. 33.▲
   Natural Language Processing with Scala(haifengl.github.io)

   2 points by haifeng 9y ago|0 comments
4. 34.▲
   by haifeng 9y ago

   There is a java/scala project providing R like statistical computation: http://haifengl.github.io/smile/linear-algebra.html
5. 35.▲
   What’s Wrong with Bitcoin(linkedin.com)

   1 points by haifeng 9y ago|0 comments
6. 36.▲
   The Future of Hadoop Is Misty(haifengl.wordpress.com)

   3 points by haifeng 9y ago|0 comments
7. 37.▲
   What’s Wrong with Bitcoin(haifengl.wordpress.com)

   2 points by haifeng 9y ago|0 comments
8. 38.▲
   3 projects lighting a fire under machine learning(infoworld.com)

   2 points by haifeng 9y ago|0 comments
9. 39.▲
   Smile v1.4.0 released(github.com)

   1 points by haifeng 9y ago|0 comments
10. 40.▲
    Payroll: An Overlooked Area in FinTech(haifengl.wordpress.com)

    1 points by haifeng 9y ago|0 comments
11. 41.▲
    Disruptive Innovation: When and Where?(haifengl.wordpress.com)

    1 points by haifeng 9y ago|0 comments
12. 42.▲
    Choosing the Best Tools(linkedin.com)

    1 points by haifeng 9y ago|0 comments
13. 43.▲
    Disruptive Innovation: When and Where?(linkedin.com)

    1 points by haifeng 9y ago|0 comments
14. 44.▲
    by haifeng 10y ago

    They are more Java developers than python developers :)
15. 45.▲
    by haifeng 10y ago

    This software has its own visualization package. See it at http://haifengl.github.io/smile/visualization.html
16. 46.▲
    by haifeng 10y ago

    The project homepage says "Data scientists and developers can speak the same language now!". So it is surely easier to producitionize a ML project without rewriting the algorithms after the data scientists work out the model with
17. 47.▲
    by haifeng 10y ago

    Good eyes :) It should be a c&p error.
18. 48.▲
    by haifeng 10y ago

    Is there something wrong in your code? I don't see the effect. smile> val x = Array(1.0, 2.0, 3.0, 4.0) x: Array[Double] = Array(1.0, 2.0, 3.0, 4.0) smile> val y = Array(4.0, 3.0, 2.0, 1.0) y: Array[Double] = Array(4.0, 3.0, 2.0,
19. 49.▲
    Smile – Statistical Machine Intelligence and Learning Engine(haifengl.github.io)

    120 points by haifeng 10y ago|27 comments
20. 50.▲
    Agile Software Development: China Navy(haifengl.wordpress.com)

    1 points by haifeng 10y ago|0 comments
21. 51.▲
    Payroll: An Overlooked Area in FinTech(haifengl.wordpress.com)

    2 points by haifeng 10y ago|0 comments
22. 52.▲
    Introduction to Big Data(haifengl.github.io)

    1 points by haifeng 10y ago|0 comments
23. 53.▲
    Unicorn 2.1 with RocksDB and SQL is released(github.com)

    2 points by haifeng 10y ago|0 comments
24. 54.▲
    by haifeng 10y ago

    Just because you can?
25. 55.▲
    Unicorn 2.0 is Released(haifengl.wordpress.com)

    1 points by haifeng 10y ago|0 comments
26. 56.▲
    by haifeng 10y ago

    Check out this script https://github.com/haifengl/unicorn/blob/master/shell/src/un... , which loads dbpedia graph into unicorn. You should be able to load ConceptNet without minor modifications.
27. 57.▲
    by haifeng 10y ago

    It is on top of hbase, Cassandra, or accumulo. So yes, it is web scaled.
28. 58.▲
    by haifeng 10y ago

    It is true. Unfortunately, the project was started several years ago and had nothing to do with the startup world. I would like to complain that VCs destroy another nice name with their hypes :(
29. 59.▲
    by haifeng 10y ago

    Okay, everyone is hiding a unicorn in their closet :)
30. 60.▲
    by haifeng 10y ago

    In most graph database, you find a vertex by filtering its properties, e.g. Gremlin graph query language. In Unicorn, you can do the similar with document vertices (it is, a vertex corresponding to a document in another table/collectio