How a Manager Became a Believer in DevOps for Machine Learning

Explore a thought-provoking podcast episode featuring Keith Trnka, an experienced technology leader, as he shares insights on leading data and machine learning teams, improving software engineering skills, and successfully migrating from a monolith to microservices in healthcare without downtime. Delve into Keith's extensive background, including his role as Director of Data Science at 98.6, his work on language models at Swype and Nuance, and his Ph.D. thesis on language modeling for assistive technology. Gain valuable perspectives on various topics such as the challenges faced by data scientists working collaboratively, the importance of context in decision-making, balancing exploration with cutting losses, simplifying machine learning processes, hiring senior engineers, fostering high-productivity teams, and conducting effective code reviews. Learn about Keith's journey from engineer to user advocate and his approach to inspiring rather than dictating. Discover practical insights on zero-downtime migration and choosing between Lambda and EKS for deployment.

[] Keith's preferred coffee
[] Introduction to Keith Trnka
[] Getting into Machine Learning
[] Learning applications
[] Data scientists' pain working together
[] Build: An Unorthodox Guide to Making Things Worth Making by Tony Fadell
[] Context meaning
[] Determining Healthcare workers' certain passions
[] From Engineer to User Advocate
[] Balancing the drive to explore and cutting losses
[] Simplifying Machine Learning Process
[] Hiring senior engineers
[] High productivity team tips
[] Inspire people not to dictate
[] Code Review Aggressivity Check
[] Zero downtime Migration
[] Choosing between Lambda and EKS
[] Wrap up