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.
Networks and Network Analysis
This talk will cover various issues related to Networks and the ways to leverage Social Network Analysis techniques to gather inferences and insights from them.
This talk will cover various issues related to Networks and the ways to leverage Social Network Analysis techniques to gather inferences and insights from them. There is opportunity in mining the intelligence with regard to entities in networks, the content exchanged among them as well as their peer-groups. Multiple inference options exist for understanding the behavior of entities. One area of analysis is that of focusing on the content purely, to try and discover concepts, facts or opinions from the content posted by entities. A second type of analysis is to focus on the users themselves to discover networks (or sub-groups) in the community and to learn how those sub-groups get formed or change. This type of analysis provides a greater value if analyzed over time as the analysis could reveal the sources of knowledge and not just the expression of the knowledge. We will discuss the formation and analysis of networks around a range of scenarios including Organizations, Social Media, Key Influencer Identification, Board of Directors, Text Analytics, Patent Networks etc.
Jai is a Product and Service Innovation leader with extensive experience in inventing, conceptualizing, building, commercializing and monetizing successful product and service innovations across SMAC (Social, Mobility, Analytics & Cloud) areas. He has experience in research, innovation and go to market for products, platforms and solutions, technology strategy, intellectual property creation, thought leadership and service practice development. Jai has several granted patents and has published in a number of leading peer reviewed journals and conferences. Jai obtained his PhD from Indian Institute of Management Bangalore (IIMB) and also holds an MBA. He is a recipient of the Chevening Rolls-Royce Science and Innovation Fellowship at the University of Oxford.