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Open-Source Machine Learning Library Available

Posted by timothy on from the avoid-falling-heavy-objects dept.

Ridgelift writes "CNet has this article on Intel's OpenML (press release). "The chipmaker's research arm on Monday said it is offering the Open Source Machine Learning Library, a collection of software that can help computers learn from various experiences. It will offer the library to interested parties for free via the Web." Open the pod bay doors, HAL."

8 of 21 comments (clear)

  1. umm, borken links? by Anonymous Coward · · Score: 2, Informative
    Did anybody else have success downloading stuff? The sourceforge page doesn't have shit: it's completely empty. Even some of the pdfs on the intel site are broken links.

    Should of expected as much from those dumbfucks at intel.

  2. Namespace collision? by CableModemSniper · · Score: 4, Informative

    http://www.khronos.org/openml/

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    Why not fork?
    1. Re:Namespace collision? by DeadMeat+(TM) · · Score: 2, Funny

      Intel's problem is that they use too few buzzwords. Now if they'd just called it "FreeOpenML XP Extreme Edition", they'd be fine.

  3. LingPipe by JohnFluxx · · Score: 4, Informative

    Also going open source is LingPipe. A natural language processing program. Wonder if the two could be hooked up in kde or something hehe.

  4. maxent.sf.net by tealwarrior · · Score: 5, Informative

    There is a mature statistical machine learning package on sourceforge. Check out maxent.sourceforge.net. It's primarily been applied to natural language processing but it's applicable to a wide range of classification problems. There are even examples in the download package. I use it regularly and like it a lot but I'm also the primary maintainer so I might be biased.

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    In theory, there is no difference between theory and practice, in practice there is.
  5. Bah by Anonymous Coward · · Score: 2, Interesting

    No support vector machines (indeed, any kind of kernel machines), POMDPs, AQ, NNs, Q-Learning, or stochastic optimization (EC, simulated annealing). Vunderbar.

  6. my AI project by OwlofCreamCheese · · Score: 2, Funny

    takeing a intro to AI course this semester... made a program that can summerize encyclopdidia articals... sort of. all I know now is unicorns are made out of unicorn.

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    -You're wasting your time. Alfador only likes me.
  7. Weka by auntfloyd · · Score: 3, Informative

    There are already several excellent open source machine learning toolkits available. The one I have the most experience with is Weka, a Java-based system. In addition to providing an API, it has both command line and GUI tools.

    With that and a decent ML book, I imagine most programmers could get up to speed rather quickly.