MLOps, TensorFlow in Production, and TFX

Join us for the second in-person TensorFlow meetup! In this meetup we will discuss MLOps and TensorFlow Extended (TFX).

The meetup will be hosted at Babyshop Group office in Östermalm, close to the Karlaplan metro station. The presentation will last roughly an hour, followed by plenty of time for socializing! Drinks and snacks will be provided. The presentation will also be streamed, via Google Meet, from 18:30: https://meet.google.com/rgu-vade-yea .

Summary of presentation:
MLOps—the term itself derived from ML and operations (Ops)—is a set of management practices for the production ML lifecycles. These include practices from ML and DevOps alongside data engineering processes designed to efficiently and reliably train, deploy, maintain and monitor ML models in production. This presentation will cover why, what and how you can effectively leverage MLOps best-practices to scale your ML efforts. Moreover, we will have a look at how TensorFlow Extended (TFX) can be used for designing and deploying ML pipelines.