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.
David Andrzejewski is a Senior Engineering Manager at Sumo Logic, where he works on applying statistical modeling and analysis techniques to machine data such as logs and metrics. He also co-organizes the SF Bay Area Machine Learning meetup group. David holds a PhD in Computer Sciences... Read More →
Justin Coffey is an engineering director in the SRE department of Criteo where he has led efforts in building out much of Criteo's data processing platform. In past lives he has built ecommerce, emailing and real estate platforms. He got his start in the industry way back in 1996... Read More →
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 Postdoctoral... Read More →
