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
Yagnik

Yagnik

@yagnik

Igniting your data with Apache Spark

Submitted Jul 2, 2015

Introduce the audience to Spark and it’s API with hands on exercise. The workshop will also deal with deploying and configuring Spark. Finally the workshop will lead into building data applications on top of spark and some lessons from Shopify.

Outline

The workshop aims to help the audience understand the architecture of Spark and work with it’s core API. The workshop also aims to help the audience understand how to build and test data applications based on Spark

  • Introduction to Spark and in memory computing
  • Setting up spark locally
  • Spark architecture
  • Working with Spark APIs

Spark, a step forward:

  • Spark Streaming, Spark SQL, MlLib, Dataframes
  • Deploying spark applications
  • Building spark applications
  • Spark gotchas and best practices

Spark, a deep dive (based on audience interest and if time permits)

  • Spark RDDs -> various RDDs that are part of Spark
  • Spark and other input sources i.e. Cassandra, hive etc

Requirements

Basic knowledge of python and hadoop

Speaker bio

Yagnik is a software developer at Shopify.
linkedin.com/in/yagnik

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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