What we’re about
This group is for sharing and evangelizing in the new disciplines of machine learning (ML) engineering that involve operationalizing ML in production with a long list of technologies such as serverless, containers, Kubernetes (K8), GPUs, automation and DevOps tools.
This not-so-new discipline of ML is very distinctly different from pure academic data science aspects where one focuses mainly on algorithms. ML Ops focuses on scaling, operationalizing and infrastructure aspects of ML at scale - which is more of an engineering concern.
