Thursday, January 30, 2014

`Technology Radar` 2014 from ThoughWorks

ThoughWorks has released `Technology Radar` for 2014. They have categorized techniques / tools / platforms / languages/ frameworks into different rings (adopt / trial / assess / hold). The rings summarize how ready the different aspects of technology are for adoption. The paper is good to get some of the hip terms around technology.
Reggae - Rare Music Vided by raremusicvideo1 from Flickr under CC

7 comments:

  1. Dear Praveen
    I am bit confused, ML with Python, what's wrong with Apache Mahout?

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    1. There is nothing wrong with Python or Mahout. Each has got it's own strength and weakness. I haven't mentioned either of them in the article.

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    2. Dear Praveen

      Regretting I commented on different post. Thanks for the revert.
      Can you eloborate a bit about the strength and weakness of both with respect to ML.
      WIth Regards

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    3. Check the below and the follow up articles

      http://blogs.impetus.com/big_data/big_data_technologies/ThreeGenerationsMachineLearningAlgorithms.do

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    4. Dear Praveen
      Link was absolutely usefull and quite informative at a higher level that's precisely I was looking for. I could not read "further Reading" as some of them are books and proceedings. But I will try them later. BTW are there any mention of Python based tools? I DO thank you!
      WIth Regards

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    5. For ML/Python there is scikit-learn, mlpy, pybrain etc. Not sure about the pros and cons about them, but I hear a lot of noice around scikit-learn and it's integration with Spark.

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  2. Dear Praveen
    I am trying to use Enthought Canopy for Python related learning and development .Is Enthought includes support MLPy or PyBrain etc or do I need to work separately on them? I am new to area.
    WIth Regards

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