What are your users doing on your website or in your store? How do you turn the piles of data your organization generates into actionable information? Where do you get complementary data to make yours more comprehensive? What tech, and what techniques?
The Fifth Elephant is a two day conference on big data.
Early Geek tickets are available from fifthelephant.doattend.com.
The proposal funnel below will enable you to submit a session and vote on proposed sessions. It is a good practice introduce yourself and share details about your work as well as the subject of your talk while proposing a session.
Each community member can vote for or against a talk. A vote from each member of the Editorial Panel is equivalent to two community votes. Both types of votes will be considered for final speaker selection.
It’s useful to keep a few guidelines in mind while submitting proposals:
-
Describe how to use something that is available under a liberal open source license. Participants can use this without having to pay you anything.
-
Tell a story of how you did something. If it involves commercial tools, please explain why they made sense.
-
Buy a slot to pitch whatever commercial tool you are backing.
Speakers will get a free ticket to both days of the event. Proposers whose talks are not on the final schedule will be able to purchase tickets at the Early Geek price of Rs. 1800.
Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
VR
Venkata Ramana
@ramana
Approaches to ML techniques on the Real world data.
Submitted May 28, 2012
Section:
Data Analytics
Technical level:
Intermediate
Session type:
Demo
Learn how to think in applying ML techniques, and the practical aspects of it.
Outline #
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.
Requirements #
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.
Slides #
http://www.slideshare.net/arjunc77/approaches-to-ml-techniques-on-real-world-data-13889993
Comments
Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
{{ gettext('Login to leave a comment') }}
{{ gettext('Post a comment…') }}{{ errorMsg }}
{{ gettext('No comments posted yet') }}