All videos
All videos
Machine Learning at any scale with Amazon SageMaker
October 7, 2019
Amazon SageMaker is a fully-managed service that allows building, training and deploying Machine Learning models at any scale. In this session we will explore how to leverage on Amazon SageMaker managed notebook instances for experimentation, data exploration and analysis; then, we will go through the best practices to run production-grade distributed training and deployment at scale, with full flexibility on the choice of languages, frameworks and libraries by using Docker containers.
Tags
Other videos that you might like
Thinking Stateful Serverless – Bringing the Power of Akka to Serverless
Leon Stigter
Building a social network in under 4 weeks with Serverless and GraphQL
Yan Cui
Auto-instrumentation of Prometheus For RED Monitoring With eBPF
Bartłomiej Płotka, Harshitha Chowdary Thota
A journey from OSS project to fully-fledged product on Azure Marketplace
Bartek Antoniak