Jul 2016
25 Mon
26 Tue
27 Wed
28 Thu 08:30 AM – 06:25 PM IST
29 Fri 08:30 AM – 06:15 PM IST
30 Sat 08:45 AM – 05:00 PM IST
31 Sun 08:15 AM – 06:00 PM IST
The Fifth Elephant is India’s most renowned data science conference. It is a space for discussing some of the most cutting edge developments in the fields of machine learning, data science and technology that powers data collection and analysis.
Machine Learning, Distributed and Parallel Computing, and High-performance Computing continue to be the themes for this year’s edition of Fifth Elephant.
We are now accepting submissions for our next edition which will take place in Bangalore 28-29 July 2016.
#Tracks
We are looking for application level and tool-centric talks and tutorials on the following topics:
The deadline for submitting proposals is 30th April 2016
This year’s edition spans two days of hands-on workshops and conference. We are inviting proposals for:
Proposals will be filtered and shortlisted by an Editorial Panel. We urge you to add links to videos / slide decks when submitting proposals. This will help us understand your past speaking experience. Blurbs or blog posts covering the relevance of a particular problem statement and how it is tackled will help the Editorial Panel better judge your proposals.
We expect you to submit an outline of your proposed talk – either in the form of a mind map or a text document or draft slides within two weeks of submitting your proposal.
We will notify you about the status of your proposal within three weeks of submission.
Selected speakers must participate in one-two rounds of rehearsals before the conference. This is mandatory and helps you to prepare well for the conference.
There is only one speaker per session. Entry is free for selected speakers. As our budget is limited, we will prefer speakers from locations closer home, but will do our best to cover for anyone exceptional. HasGeek will provide a grant to cover part of your travel and accommodation in Bangalore. Grants are limited and made available to speakers delivering full sessions (40 minutes or longer).
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 licence. If your software is commercially licensed or available under a combination of commercial and restrictive open source licences (such as the various forms of the GPL), please consider picking up a sponsorship. We recognise 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.
##Venue
The Fifth Elephant will be held at the NIMHANS Convention Centre, Dairy Circle, Bangalore.
##Contact
For more information about speaking proposals, tickets and sponsorships, contact info@hasgeek.com or call +91-7676332020.
Hosted by
Prajit Datta
Bankruptcy is one of the major concern for any type of market. If any company fall and loses money it’s a damage to a part of economic environment. Prediction of Bankruptcy has become important with time as it helps in mitigating risk by the organization as well as the current standing government. This short talk will walk you through how Machine Learning is changing the world of finance especially in mitigating the risk and damage from any potential financial crisis in future.
Financial data has got lot of characteristics, parameters and trends. It’s about the different type of machine learning algorithm applied on a particular type of data product to get the results. All the results will be uniquely given a weightage get the best analysis with high accuracy.
Its not a workshop. I will prefer to give a short talk with the presentation and a demo video of analysis.
Prajit Datta is a Vellore Institute of Technology Graduate and also a Special Achiever Awardee. He is currently working in data science team called as Enterprise Information Exchange in Bank of America and has also presented paper on artificial intelligence as well as cloud gaming. With an experience in both data science and software engineering in financial domain, he is comfortable working with data on the research and analytics level, as well as leveraging that data to build impactful products.
His interests are natural language processing, and data mining and is also eager to learn and apply his unique skillset to new, interesting, and challenging problems. When not working at his office he’s thinking of dashing out to EDM concerts and rock music concerts and also a non-fiction bibliophile. His first career aspirations are always to create a meaningful product that improves people’s lives.
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