Enjoyed this content? 0

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

Cloud Machine Learning

About the speaker

Antonio Duma

Sr. Solutions Architect at AWS

Antonio Duma is a Solutions Architect for Amazon Web Services in Italy. With several years of engineering background, he helps customers to design flexible and…

Other videos that you might like

Netflix 2.0 – How to build your own VOD global web application without using single server

Tomasz Stachlewski

Sphere.it conf 2022

Clouds are not Free: Guide to Observability – Driven Efficiency Optimizations

Bartłomiej Płotka

Nine Ways To Fail at Cloud Native

Thinking Stateful Serverless – Bringing the Power of Akka to Serverless