3 ms·
MLOps. Rightfully so. If you're involved in the field, this is long overdue. There's a lot of noise but things will settle in a few years when people quit.
by Jugurtha 6y ago
MLOps. Rightfully so. If you're involved in the field, this is long overdue. There's a lot of noise but things will settle in a few years when people quit.
- max_hammer 6y agoWhy ops instead of Data science ?
- bad_username 6y agoData science is the algorithm part. ML ops is the infrastructure and process/workflow part, that enables efficient application of data science.