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.
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.
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
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.
Visualising Multi Dimensional Data
To understand techniques to effectively visualise multi dimensional data to aid exploratory data analysis.
Even though exploring data visually is an integral part of the data analytic pipeline, we struggle to visually explore data once the number of dimensions go beyond three. This talk will focus on showcasing techniques to visually explore multi dimensional data (p > 3). The aim would be show examples of each of following techniques, potentially using one exemplar dataset.
Standard 2D/3D Approaches
- Aesthetics e.g. Color, Size, Shape
- Small Multiples e.g. Trellis / Facets
- Matrices Views e.g. SPLOMs
- 3D Scatterplot
Geometric Transformation Approaches
- Alternate Coordinates e.g. Parallel, Star
- Projections e.g. Dimensionality Reduction
Glyph based Approaches
- Star glyphs
- Stick Figures
Pixel based Approaches
- Pixel bar charts
- Space filling curves
Stacked based Approaches
- Dimensional Stacking
- Hierarchical Axis
The talk will also explore the role of interaction approaches to enhance our ability to visually explore the multi dimensional data.
- Navigation - Pan, Zoom, Scale, Rotate
- Selection & Annotation
- Filtering - Highlighting, Brushing and Linking
- Dynamic Queries
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