Skip to content
TrackPodcasts
technologyOct 1, 202050:17pending

A programming language for scientific machine learning and differentiable programming

About this episode

Subscribe: iTunes, Android, Spotify, Stitcher, Google, and RSS.

In this episode of the Data Exchange I speak with Viral Shah, co-founder and CEO, Julia Computing. Along with his Julia language co-creators, Viral was awarded the 2019 Wilkinson prize, for outstanding contributions in the field of numerical software. I first tweeted about Julia at the beginning of March 2012 after seeing Jeff Bezanson give a talk in Stanford. I’ve dabbled with it here and there, but have never used it for a major project. Over the past few years, Julia continued to add packages at a steady pace and the package manager is really quite impressive and solid.  We spent much of the podcast discussing the state of Julia, Julia 1.5, and the Julia ecosystem and community.

Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.

Detailed show notes can be found on The Data Exchange web site.

Subscribe to The Gradient Flow Newsletter.

Get every episode summarized

Each time The Data Exchange with Ben Lorica publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.

Email me new episodes

Free for 3 shows. No card needed.

Hosts & guests

No transcript yet

This episode has not been transcribed. Request it and it moves to the front of the queue.

A programming language for scientific machine learning and differentiable programming

The Data Exchange with Ben Lorica

0:00
50:17

More episodes

More from The Data Exchange with Ben Lorica

View all episodes →