The Fifth Elephant 2015

A conference on data, machine learning, and distributed and parallel computing

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.

Workshops

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

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more

Bhasker Kode

@bhaskerkode

POC: How to slice, dice & search billions of users events in seconds (from scratch)

Submitted Jun 14, 2015

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.

Outline

Supported actions:

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.

Speaker bio

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

Links

Slides

https://www.dropbox.com/s/80ou4xrqwm2am1j/fifthel15-bhaskerkode-billion-bits.png?dl=0

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Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more