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).
Machine Learning with Julia
Appreciate the convenience of using Julia in data curation and machine learning
The talk broadly covers the experiences of a self-taught programmer working with Julia as one of his first programming languages. The following applications using Julia are highlighted:
- Data curation, in particular time series data
- Random forests
Employer - Decimal Point Analytics
Designation - Vice President
Division - Quantitative Analytics
Area of work - Product development within the finance domain using machine learning techniques
Experience - 14 years across equity research, private equity and data science