“Scaling up data science can be difficult. Data set management, cluster management, distributed workloads and model development suddenly all need to fit into the routines and conventions of classical software development. The current ML-ops landscape offers several potential solutions but the lack of a mature standard indicates an underlying issue – none of them are perfect. In this talk, we discuss the challenges of production grade data science workflows and our learnings from dealing with them on behalf of our customers…”

Price: Free

Link: https://foocafe.org/event/data-science-engineering-workflows-notebooks-production