The Fifth Elephant 2012

Finding the elephant in the data.

Approaches to ML techniques on the Real world data.

Submitted by Venkata Ramana (@ramana) on May 28, 2012

Section: Data Analytics Technical level: Intermediate Session type: Demo Status: Confirmed & Scheduled


Learn how to think in applying ML techniques, and the practical aspects of it.


List out possibilities of applying various Machine Learning Techniques to Real World Data. It focuses on what (are available ?), why (to use one or some of them ?) and how (to apply for the problem in hand ?)

A demo on one/more Real world use cases. This can help an enthusiast to start on .... without digging noise!

A useful scenario would be to learn behavioural patterns in social networks. Say, an algorithm that you can train to judge your friends. So you can get some insight in your intutive behaviour on the web ;) You can apply these rules may be in training a larger set of your own activities.


You must have an enthusiasm to ask how? and why? things do/ do not happen and keep it simple and clear.

Knowledge of Python. Basics of Machine Learning Algorithms is a plus.

Speaker bio

I am a python developer at Agiliq. I hold Master's degree as a Knowledge Engineer. I wonder how things fit to do some Good work. The best way to be productive is to be practical.



  • Govind Kanshi (@govindsk) 7 years ago

    Thanks Venkata for doing this session/tutorial? Do you plan to use/show scikit, sklearn,pylab ,scipy or numpy? Maybe folks can install these and come over if you plan to conduct workshop/tutorial?
    1. Any link to resources for people to “read up” would be great.
    2. If you could describe two/x scenarios that you plan to address as part of “when” above - people can get help to decide. Say for example recommendation, or fault/fraud analysis.

  • Venkata Ramana (@ramana) Proposer 7 years ago

    Well, i think i address the point 2.
    Shall update the links to resources soon.

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