The Data science landscape in the last 5 years has evolved around developing new learning algorithms and using them to solve complex problems from machine learning to computer vision. The future will demand us to build models that are computationally intensive with
an important KPI. In this issue, we will explore Julia, the programming language which shows a huge potential to impact this transition and is very well on the way to becoming the data scientist’s favorite.
Jins Vengdingal manages Training & Content development for Telecom, Banking and Technology domains. He is passionate about new technologies, creating industry POVs & gaming.
Aditi Prabhu is focused on running governance for the Learning Management System in eClerx. She is passionate about Content Development and Industry Research.