Deploying ML at Scale with Kubernetes and TFX

Deploying ML at Scale with Kubernetes and TFX

Explore a comprehensive conference talk on deploying machine learning models at scale using Kubernetes and TensorFlow Extended (TFX). Learn how to leverage these powerful tools to streamline the process of deploying and managing large-scale machine learning systems. Gain insights into best practices, challenges, and solutions for scaling ML deployments in production environments. Presented by Rishit Dagli from Narayana Junior College and incoming student at the University of Toronto, this 42-minute session offers valuable knowledge for data scientists, ML engineers, and DevOps professionals looking to enhance their skills in deploying and scaling machine learning applications.