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Friday, November 17 • 5:00pm - 6:00pm
Functional Programming for Machine Learning

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Functional Programming is the next frontier in Machine Learning.  We see a reamandous uptick in using Scala, Haskell, Rust, and other FP languages for ML/AI, and we start learning best practices.  How does FP help scale ML?  What is it about the common proximity to math and physics that so many folks in the space share?  How does FP help in designing, building, and deploying AI, whatever it will become?  These are the topics of this panel, moderated by Vitaly Gordon, VP Data Engineering and Data Science, Salesorce Einstein, himself a hands-on FP+ML developer and speaker at both Scala and AI By the Bay.

avatar for Vitaly Gordon

Vitaly Gordon

VP of Engineering and Data Science, Salesforce Einstein
VP of Engineering and Data Science at Salesforce Einstein

avatar for David Andrzejewski

David Andrzejewski

Data Sciences Engineer, Sumo Logic
Engineering Manager, Sumo Logic
avatar for Oscar Boykin

Oscar Boykin

Mathematical Hacker, Stripe
Software Engineer, Stripe
avatar for Justin Coffey

Justin Coffey

Engineer, Criteo
avatar for Ajeet Grewal

Ajeet Grewal

Sr. Manager, Twitter
avatar for Leah McGuire

Leah McGuire

Principal Member of Technical Staff, Salesforce
Leah McGuire is a Principal Member of Technical Staff at Salesforce, working on automating as many of the steps involved in machine learning as possible. Before joining Salesforce, Leah was a Senior Data Scientist on the data products team at LinkedIn. She completed a PhD and a... Read More →
avatar for Chris McKinlay

Chris McKinlay

Director of Engineering, Takt
Machine learning in Haskell!

Friday November 17, 2017 5:00pm - 6:00pm