Matei Zaharia - Episode 32
ACM ByteCast
How Does ML Flow Really Help With Machine Learning Development?
ML flow is an open source project that handles this problem. It gives you some built-in functions for common things people need to do with machine learning like packaging a model and deploying it in different serving systems or tracking metrics about it. We see again a lot of teams use it as they move from like just doing some experiments and creating a cool model to creating an application that's supposed to run all the time maybe retrain periodically and be very easy to monitor. And we've tried to do something that people can use even during the experimentation phase, saves you a little bit of time and experiment management and collaboration but then it puts you in a spot where you can quickly shift the model to production
Remember Everything You Learn from Podcasts
