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
Ramesh Sampath
@sampathweb
Submitted May 12, 2015
Understand the process I and Kevin Gates went through in building www.seeingtheair.com, a hackathon data product to compare Air Quality in various cities. Audience will have an appreciation for - Data Extraction, Exploration phase along with building an Web App and some intuition for Data Viz. I intend to show Python Code behind the app in this talk.
At a recent Data Viz. Hackathon, Data Canvas (map.datacanvas.org), we were asked to tell a story based on the sensors deployed at various cities (San Francisco, Geneva, Boston, Bangalore, Shanghai, Singapore). I along with Kevin Gates wanted to tell a story around Air Quality index and built www.seeingtheair.com.
We will talk about the process of building this data product:
This talk is not about Big Data, but making sense of data that’s all around us.
I am a Software Engineer making applications for fun and profit. Over the last few years, I have done my own Startup for a couple of years building e-commerce apps for small businesses to automatically move the products in their online stores. I mostly use Python for my Web and data adventures.
Hosted by
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