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

chinmayi sk

Holistic Security Process for Humanitarian Projects

Submitted Jun 15, 2015

Humanitarian projects usually contain sensitive information and are more prone to risks. Hence it is important to include security holistically in project planning. The objective of the session would be to present good data security practises to be followed while working on a humanitarian project.

Outline

I will be talking about a process designed by technologists and human rights activists during responsible data forum which was held in March 2015 at Manila .Here we have designed a detailed process for risk assesment for human rights documentation based on responsible data project lifecycle (https://wiki.responsibledata.io/Data_in_the_project_lifecycle).
In this session I will be sharing the process and along with that good practises one should be following while designing a humanitarian project.

Speaker bio

I am a technologist with keen interest in building humanitarian technologies.
I lead the India Chapter of Random Hacks of Kindness and I am a part of its global board.Random Hacks of Kindness is a global community of volunteers who build get together to build humanitarian technologies.
I also work on an interesting project called “The Bachchao Project” where i work with several NGOs and communities who work on solving Gender Based Violence.

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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