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.
Static & Interactive Exploratory Data Analysis in R
Learn to quickly do static and interactive visual exploration of large datasets in R
Exploratory data analysis is a fundamental part of the data science pipeline. This workshop will enable you to build your skills to do quick static and interactive EDA using R. It will cover the following topic.
- Introduction: The Grammar of (Static & Interactive) Graphics
- Portrait: Single Variable Distribution (Continuous, Categorical)
- Comparison: Dual Variable Comparisons (Continuous vs. Categorical, Categorical vs. Categorical, Continuous vs. Continuous)
- Multi Variable: Using Color, Shape, Size, Facets, Matrix, 3D, Parallel
- Maps: Starting with analysing spatial data
In addition we will cover what type of interactions would be useful for further exploration e.g. Navigation, Selection, Annotation, Brushing, Filtering, Tours
Link to Workshop Visual Map
A basic level of familiarity with R and Rstudio is assumed for the session. Also, please do install the following R packages ahead of the session - ggplot2, ggmap, GGally, ggvis, shiny, manipulate, dplyr, hexbin
Amit Kapoor is interested in learning and teaching the craft of telling visual stories with data. He uses storytelling and data visualization as tools for improving communication, persuasion and leadership. He conducts workshops and trainings for corporates, non-profits, colleges, and individuals at narrativeVIZ Consulting. He also teaches storytelling with data as an invited guest faculty in executive courses at IIM Bangalore and IIM Ahmedabad and design courses at NID, Bangalore.
His background is in strategy consulting in using data-driven stories to drive change across organizations and businesses. He has more than 12 years of management consulting experience, first with AT Kearney in India, then with Booz & Company in Europe and more recently for startups in Bangalore. He did his B.Tech in Mechanical Engineering from IIT, Delhi and PGDM (MBA) from IIM, Ahmedabad. You can find more about him at amitkaps.com and tweet him at @amitkaps