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
Madhukara Phatak
@phatak_dev
Submitted May 6, 2015
RDD is the core abstraction of Apache Spark. So understanding RDD in depth is very
crucial to use spark very effectively. This talks aims to take audience a deep
dive into RDD to make them understand why it’s so powerful.
This is an Advanced talks aimed toward people who already know Spark. This talk
tries to deconstruct RDD abstraction to peek inside. We will be discussing about
All the above topics are discussed with real code.
Madhukara phatatak is a Bigdata consultant @ Datamantra. He has been actively working in Hadoop,Spark and its ecosystem projects from last 5 years.
He was lead developer of Nectar, a ML library for hadoop.He also contributed to hadoop source code to improve cyclic checks in Jobcontrol api.With raise of Apache Spark, he with his team has open sourced courseera machine learning course examples on spark here. He blogs on spark here. Also he runs a Spark meetup group in Bangalore.
Hosted by
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