43 min listen
Testing ML systems
ratings:
Length:
48 minutes
Released:
Jan 27, 2020
Format:
Podcast episode
Description
Production ML systems include more than just the model. In these complicated systems, how do you ensure quality over time, especially when you are constantly updating your infrastructure, data and models? Tania Allard joins us to discuss the ins and outs of testing ML systems. Among other things, she presents a simple formula that helps you score your progress towards a robust system and identify problem areas.
Released:
Jan 27, 2020
Format:
Podcast episode
Titles in the series (100)
Helping African farmers with TensorFlow: featuring Amanda Ramcharan, Latifa Mrisho, and Peter McCloskey by Practical AI: Machine Learning, Data Science