Introduction to Apache Mahout Slides

Although Apache Mahout is not an absolute beginners topic in data science, this slide deck provides a nice overview of machine learning, and it provides some excellent links at the end. In case you are wondering, Mahout is a scalable machine learning library for very large data sets.

The slides were prepared by Varad Meru.

Introduction to Mahout and Machine Learning from Varad Meru

Originally Posted

in

,

by

Last Modified:

Comments

6 responses to “Introduction to Apache Mahout Slides”

  1. Rajnish Avatar
    Rajnish

    These Slides are really good. I am facing problem on putting mahout in action. I have a linux system with hadoop installed but running Mahout on that is causing lots of problems.

    1. Ryan Swanstrom Avatar

      Sorry to hear that, I have never actually tried to do that. You may want to try posting some specific questions to stackoverflow or one of the other stackexchange sites.

    2. Varad Meru Avatar
      Varad Meru

      Are you trying to do development using Mahout as a library? or as a stand-alone packaged jar.

      http://bigdatacircus.com/2012/09/13/mahout-setting-up-and-building-mahout-a-walkthrough/ is an article I wrote for setting-up Mahout on Eclipse for Development.

      This might help.

      1. Ryan Swanstrom Avatar

        Varad,
        Thanks for helping out.

        Ryan

  2. Varad Meru Avatar
    Varad Meru

    Thanks for Sharing the Presentation 🙂

    1. Ryan Swanstrom Avatar

      Varad,
      No problem, nice slide deck.

      Ryan

Leave a Reply

Discover more from Ryan Swanstrom

Subscribe now to keep reading and get access to the full archive.

Continue reading