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.
Data Comes in Shapes
Data comes in shapes. The study of shape is geometry, in as many dimensions as you have variables. You can’t visualise them all, but you can see in 2D and 3D why the algebraic tools work the way they do
Data comes in shapes. The study of shape is geometry, in as many dimensions as you have variables. You can’t visualise them all, but you can see in 2D and 3D why the algebraic tools work the way they do: in particular, the computer geometry of lines and planes (all the way to big data tools like Support Vector Machines), is ‘linear algebra’. I can’t explain all of linear algebra in 40 minutes, but I will describe strategies for making sense of it without getting confused by all the
Think in pictures!
Prof Tim Poston got his PhD in 1969 from University of Warwick, England advised by Sir Roger Penrose. Since then he has served in various professorships and research fellowships at Rio de Janeiro, Rochester (USA), Oporto (Portugal), Geneva, Bristol, Stuttgart, Charleston, Santa Cruz, Los Angeles, Pohang (South Korea), Singapore, Umeå (Sweden), and finally in Bangalore. He is currently the Chief Scientist at Forus Health Pvt. Ltd. - an organization working to bring affordable eye care to the rural Indian population using home-grown technology. A true globe-trotter, he is a master of many languages, and of many fields of mathematics, his contibutions in the field of Catastrophe theory, and topology are well admired by academics. Tim has seen the entire evolution of computer science as an academic descipline and an industry, and uses his mathematical provess to make any problem tractable. Most of all, he is a terrific teacher, full of fascinating stories and unique and fascinating insights, and inspires wonder in mathematics, and the world in general. We are previlaged to have him speak at this year’s Fifth Elephant.
Tim’s website: http://geometeer.com/