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.
Dear Praveen
ReplyDeleteI am bit confused, ML with Python, what's wrong with Apache Mahout?
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.
DeleteDear Praveen
DeleteRegretting 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
Check the below and the follow up articles
Deletehttp://blogs.impetus.com/big_data/big_data_technologies/ThreeGenerationsMachineLearningAlgorithms.do
Dear Praveen
DeleteLink 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
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.
DeleteDear Praveen
ReplyDeleteI 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