Data Science

Julia is a fast, dynamic, open source, easy to use programming language, designed to solve the two-language problem. It provides ease in both syntax and speed, and adopts multiple dispatch as its paradigm. In this talk, we will give an overview of the strengths and applications of Julia, as well as cover its basic syntax. Through a short live coding demonstration and text game AI with the Flux.jl package, we will demonstrate Julia's ease of use and comprehensive support for Machine Learning and Scientific Computing.

Problem

To be honest, none of the online teaching solution meets the real need of running online lab session. All existing online teaching solutions are just for online meeting or one direction broadcast! Teachers are 100% no way to know your students are really working on their exercise at home or they are just open the online meeting apps, and then doing other stuff!

Apache Spark is one of the top big-data processing platforms and has driven the adoption of Scala in many industry and academic settings. As entire Apache Spark framework has been written in Scala as a base, it’s real pleasure to understand beauty of functional Scala DSL with Spark.

This talk is intent to present :