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.
High Performance Tiled Map Service
To introduce the service behind the housing map interface and discuss the technical challenges and performance bottlenecks faced while developing the tiling map service.
Tiling service is the key service behind our map interface. It is responsible for smooth user interactions in dense inventory areas and, scaling our map interface. Our TMS(Tile Map service) faces the challenge of generating decluttered markers at real time for an unrestricted combination of filters and a rapidly changing inventory. The large number of filters restricts precomputation of tiles and frequent changes in inventory make it necessary to use a sophisticated caching mechanism. These conditions also make it impossible to have a client side overlay over Google Maps.
In this talk we’ll discuss the conditions that lead to creation of a dedicated maps service. We’ll also discuss the principal components of tiling service, such as, caching strategies, decluttering logic, real time image encoding techniques and the challenges we faced during their implementation.
There are no requirements for this session.
Speakers: Shubham Bansal, Mudit Gupta
Shubham Bansal is a developer at Housing and is responsible for developing tile service. He is currently working as a part of Search and Maps team in housing. Maps team is responsible for delivering all map related capabilities of the system.
Mudit is a developer at Housing.com and has been leading the search and realtime recommendations at Housing. He is a FOSS enthusiast and has contributed actively to various projects including the collaborative filtering module at mlpack.