Introduction to Julia and why it matters for Machine Learning

We're delighted to invite you to attend an open session next Wednesday 3 October 2018, titled: "Introduction to Julia and why it matters for Machine Learning" by Dr. Viral Shah, co-creator of Julia project and Co-founder & CEO of Julia Computing Inc.

This event is hosted by Nile University and Optomatica.

Abstract:

We ask, what might the ideal ML language of the future look like? Our thoughts are published in this blog post:

https://julialang.org/blog/2017/12/ml&pl

As programming languages (PL) people, we have watched with great interest as machine learning (ML) has exploded -- and with it, the complexity of ML models and the frameworks people are using to build them. State-of-the-art models are increasingly programs, with support for programming constructs like loops and recursion, and this brings out many interesting issues in the tools we use to create them -- that is, programming languages.

While machine learning does not yet have a dedicated language, several efforts are effectively creating hidden new languages underneath a Python API (like TensorFlow) while others are reusing Python as a modeling language (like PyTorch). We'd like to ask -- are new ML-tailored languages required, and if so, why?

Now that Julia 1.0 is released, we will also discuss how Julia evolved to get where it is today, and how it might evolve to taking on some of the challenges posed by machine learning.

Speaker's Bio:

Dr. Viral Shah is a co-creator of the Julia project and Co-founder and CEO of Julia Computing. He has had a long-term track record of building open-source software.
Apart from Julia, he is also co-creator of Circuitscape, an open-source program which borrows algorithms from electronic circuit theory for ecological conservation. In the Government of India, he was an early member of the country’s national ID project - Aadhaar. The experiences of implementing technology at such scale for a billion people are collected in his book: Rebooting India. Viral has a Ph. D. from the University of California at Santa Barbara, in Computer Science.

Location:

(Room: UB1- 134)

Nile University
Juhayna, Square on 26th of July Corridor, Sheikh Zayed, Giza.
Phone: +20 2 3854 1700
Hotline: 16453

Location Map:
https://goo.gl/maps/uvDjqmY6xAk

Note: RSVP is a must.

For any questions or details, please contact us through PyData-Cairo Meetup Messages/discussion board, or Nile University contacts