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.
Track 1: Discovering Insights and Driving Decisions
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.
Track 2: Speed at Scale
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
Commitment to Open Source
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.
POC: How to slice, dice & search billions of users events in seconds (from scratch)
results from a proof of concept business intelligence tool, where each bit in a multi-billion bitmap, represented a user performing an event. a minimal 100 LOC implementation gave encouraging results, and also areas that could improve - caveats, ideas to roll out your own BI tool.
Couting the number of users performing an event(cardinality)
Counting the number of users performing a combination of 1000 events
How to support searching events across time ranges (to suit your case)
1) bits to be compared
2) bits intersection
3) time for running intersection
4) time for counting intersection
5) hacks & tricks when working with bits, popcount & bitmaps
First version up in two days. Will show you how to get it up and running for your internal team as well.
Bosky (@bhaskerkode) leads a product engg team at Helpshift & works on erlang, clojure and golang.
building distributed systems since ‘06 across edtech, adtech & mobile in erlang, clojure & go.
more talks at http://slideshare.net/bosky101
more about bosky at http://in.linkedin.com/in/bhaskerkode