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.
A review of important results in distributed systems
The key objective is to get the attendee a more nuanced appreciation of the constraints placed while designing distributed/fault tolerant systems. At the end of this talk, the attendee should be conversant with some of the key theorms, ideas and common solutions to distributed problems.
We will be presenting a summary of some of the key theorms and papers in distributed computing and highlight their impact on system design. We will also go through some of the mitigation methods/workarounds/clever hacks on the constraints imposed by these research topics.
I have been a passionate software developer for the last 20+ years. Over that time, I have worked on a wide variety of platforms and systems, from ZX-Spectrum to large mainframes that run COBOL to embedded systems to large distributed systems. OVer the last 10 years, I have developed an interest in machine learning and designing distributed systems. I have presented papers on various events and groups. I think I am more suitable just because I am passionate about this subject.
- A previous lecture link - https://www.youtube.com/watch?v=ID5aTUc9p3A. I have also presented several times in various meetups, esp. in papers we love.
- https://drive.google.com/file/d/0Bw4FtILT80mNYWk1N1NDVnNtM1U/view?usp=sharing is the mindmap of what I want to talk about.