Machine Learning: The Julian Approach

Oct 16, 2017 · Greater London, United Kingdom

Machine learning is one of the fastest growing Julia Community group. It featured in a workshop session at JuliaCon 2017, part of which was presented by one of this meetup's speakers.

Some ML packages have fallen by the wayside and others are now in the ascendency and in this talk Mike Innes and Avik Sengupta will discuss what the favoured options are for tackling machine and deep learning problems in Julia and in addition will discuss some of the exciting developments which will be available soon.

Mike and Avik are no strangers to the London User Group, each having authored a number of seminal Julia packages. Both now are full time employees of Julia Computing in the UK and are well placed to provide key information as to the way ahead to Julia v1.0

Our thanks to Skillsmatter for providing the venue again.

As usual SKM would also like you to RSVP on their site as well as here at our meetup page, using the following link:

Event organizers
  • London Julia User Group

    Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. Want to show what you are working on? Questions to ask? Want to meet others who are using Julia? Let's meetup and talk Julia!

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