345: Machine Learning At Twitter

I speak with Dan Shiebler who works as a machine learning engineer at Twitter Cortex and at the same time, is doing a Ph.D. on applying category theory in machine learning. We discuss his work at Twitter, the importance of academics, and the future of machine learning.

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "345: Machine Learning At Twitter" was published on March 5, 2020 and runs 72 minutes.

March 5, 2020 ·72m · Super Data Science: ML & AI Podcast with Jon Krohn

Summary

I speak with Dan Shiebler who works as a machine learning engineer at Twitter Cortex and at the same time, is doing a Ph.D. on applying category theory in machine learning. We discuss his work at Twitter, the importance of academics, and the future of machine learning. In this episode you will learn: What is great about Twitter [5:31] Dan’s Ph.D. program [9:25] Dan’s work at Twitter [18:07] Dan at DSGO 2020 [35:16] LinkedIn Q&A [40:25] Dan’s advice [1:03:58] Additional materials: www.superdatascience.com/345

Episode Description