35 min listen
Optimization, Machine Learning and Intelligent Experimentation with Michael McCourt - #545
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Optimization, Machine Learning and Intelligent Experimentation with Michael McCourt - #545
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ratings:
Length:
46 minutes
Released:
Dec 16, 2021
Format:
Podcast episode
Description
Today we’re joined by Michael McCourt the head of engineering at SigOpt. In our conversation with Michael, we explore the vast space around the topic of optimization, including the technical differences between ML and optimization and where they’re applied, what the path to increasing complexity looks like for a practitioner and the relationship between optimization and active learning. We also discuss the research frontier for optimization and how folks think about the interesting challenges and open questions for this field, how optimization approaches appeared at the latest NeurIPS conference, and Mike’s excitement for the emergence of interdisciplinary work between the machine learning community and other fields like the natural sciences.
The complete show notes for this episode can be found at twimlai.com/go/545
The complete show notes for this episode can be found at twimlai.com/go/545
Released:
Dec 16, 2021
Format:
Podcast episode
Titles in the series (100)
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