The Fifth Elephant 2015
A conference on data, machine learning, and distributed and parallel computing
Jul 2015
13 Mon
14 Tue
15 Wed
16 Thu 08:30 AM – 06:35 PM IST
17 Fri 08:30 AM – 06:30 PM IST
18 Sat 09:00 AM – 06:30 PM IST
19 Sun
Machine Learning, Distributed and Parallel Computing, and High-performance Computing are the themes for this year’s edition of Fifth Elephant.
The deadline for submitting a proposal is 15th June 2015
We are looking for talks and workshops from academics and practitioners who are in the business of making sense of data, big and small.
This track is about general, novel, fundamental, and advanced techniques for making sense of data and driving decisions from data. This could encompass applications of the following ML paradigms:
Across various data modalities including multi-variate, text, speech, time series, images, video, transactions, etc.
This track is about tools and processes for collecting, indexing, and processing vast amounts of data. The theme includes:
HasGeek believes in open source as the binding force of our community. If you are describing a codebase for developers to work with, we’d like it to be available under a permissive open source license. If your software is commercially licensed or available under a combination of commercial and restrictive open source licenses (such as the various forms of the GPL), please consider picking up a sponsorship. We recognize that there are valid reasons for commercial licensing, but ask that you support us in return for giving you an audience. Your session will be marked on the schedule as a sponsored session.
If you are interested in conducting a hands-on session on any of the topics falling under the themes of the two tracks described above, please submit a proposal under the workshops section. We also need you to tell us about your past experience in teaching and/or conducting workshops.
Hosted by
Anand S
@sanand0
Submitted Jun 15, 2015
The breaking news segment is an intensely competitive market with players from the TV, radio, online, mobile and print space competing for attention. The ability to discover trends early and “break” them is an edge.
This session talks through some of the techniques used in an ongoing media engagement to automatically source real-time news, to cluster them, to filter the relevant ones, and build a storyline around these.
The session will cover:
The session will focus more on technique than technology. WHile I will be sharing code, you can inspect that later. The talk itself will be layman friendly.
But to get the most out of the code, you’d need:
Anand is the Chief Data Scientist at Gramener.com. He has advised and designed IT systems for media organizations such as the Times Group, the India Today Group, The Guardian, CNN-IBN, etc.
Anand and his team explore insights from data and communicates these as visual stories. Anand also builds the Gramener Visualisation Server -- Gramener’s flagship product.
Anand has an MBA from IIM Bangalore and a B.Tech from IIT Madras. He has worked at IBM, Lehman Brothers, The Boston Consulting Group and Infosys Consulting. He blogs at s-anand.net.
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