Overview of machine learning algorithms

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This topic contains 2 replies, has 0 voices, and was last updated by  ScienceProg 1 year, 9 months ago.

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  • #6802

    ScienceProg
    Keymaster

    Few years ago machine learning has caught my attention and since then my interest in this field keeps growing. Everyday we see more and more intelligent solutions surrounding us. Most obvious is internet. You probably noticed, that shopping sites adapt to our interests and suggests targeted offers, another example is spam email filters, if we mark emails as spam they keep disappearing from our lives. Other area is robotics, where they learn how to navigate independent and perform various tasks. Autonomous flying robots, helicopters, quads, handwriting recognition, computer vision, data mining in various fields like markets, biomedicine, biology – all…

    #6917

    ScienceProg
    Keymaster

    I think python is a great language to start working with machine learning.

    Here is a list of open source machine learning packages for python:

    http://pansop.com/1039/

    #6918

    ScienceProg
    Keymaster

    I decided to try Anakonda package which already includes latest Python release, SciPi and other 400 popular Python packages including special machine learning tools. It is open source, so everyone can download and use it freely. It also comes with powerful GUI called Spyder 2. At some point it might remind Matlab – where you can write script, run it and in same window see output results including variables and graphics. I really enjoyed first impression.Anakonda_Spyder_GUI.jpg 

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