Julia is a high-level dynamic language which was invented out of greed to do more. Unlike other high-level dynamic languages, Julia is really fast. It inherits design tenets from Lisp, builds on the good parts of C, MATLAB, R, Python and Ruby to create a language that is performant and highly productive at the same time.
We are proud to announce the first ever JuliaCon India. It will feature the creators of the language Jeff Bezanson, Stefan Karpinski, and Viral B Shah, and an enthusiastic contingent of Julia programmers in India. It’s a two-day event consisting of a day-long conference (9th Oct) and a workshop (10th Oct).
Julia: For tensor framework
Tensor frameworks are extensively used in Data Analytics for capturing the semantics as well as ease of interpretation of the data. The objective is to demonstrate the ease of tensor usage along with, a comparison with a properietary tool.
An overview of application of tensors in Data Analytics and machine learning will be introduced, followed by the session would walk through the two packages Tensors, which does CANDENCOMP and PARACOMP, where the Khatri Rao products are crunched.
Have been working in Analytics and Machine Learning for a year at QuEST Global - Trivandrum, introduced to Julia and set up a team of 3, now a research engineer at Bosch