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:
- Statistical Visualizations
- Unsupervised Learning
- Supervised Learning
- Semi-Supervised Learning
- Active Learning
- Reinforcement Learning
- Monte-carlo techniques and probabilistic programming
- Deep Learning
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:
- Distributed and Parallel Computing
- Real Time Analytics and Stream Processing
- MapReduce and Graph Computing frameworks
- Kafka, Spark, Hadoop, MPI
- Stories of parallelizing sequential programs
- Cost/Security/Disaster Management of Data
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.
Real Time Bid Modification @ Million Requests per second...
Learning around building high performance software systems a capable of handling million requests per second while keeping response time under 10 ms.
1.) The talk introduce users to basics of digital advertisements
2.) The business case needing requiring a system with high performance and low latency
3.) Challenges faced while building the system capable to handle over a million requests per second
Jatinder is a Principal Software Engineer at Media IQ Digital, An analytics technology company unlocking insights to drive business growth. He leads the high performance engineering team in Media IQ and has over 5 years of experience in building software solutions that can scale.
He is also the author maelstorm a high performance http server as a hobby project for C10K problem solution. But same has been optimized for performance and forms the backbone for high performance solutions @ Media IQ.
He is also a contributor to open source project netty which provides performant low level networking libraries in java.