Speaker: Viral Shah and Mike Innes
UCL Contact: David Barber (Visitors from outside UCL please email in advance).
Date/Time: 21 Mar 17, 13:00 - 14:00
Julia is a modern high-performance, dynamic language for technical computing, with many features which make it ideal for machine learning, including just-in-time (JIT) compilation, multiple dispatch, metaprogramming and easy to use parallelism. We will demonstrate these features and how they make it easy to write learning algorithms in a high level language without the need to rewrite in C for performance. We will also show some of the machine learning packages that are available in the Julia ecosystem, as well as the tools to deploy these models at la