Sunday 14:15–15:00 in Big Room

The joy of Lambda’s in machine learning: Running analytics at Scale without the burden of servers.

Thijs de Vries

Audience level:
Novice

Description

I’ll show how to train and run a ML model in a few hours on AWS Lambda. This includes automated provisioning, CI/CD and productionalizing.

Abstract

AWS Lambda is a service that lets you execute a single function on the cloud paying only for the actual execution time. Functions can be composed in various languages like NodeJS, Java, C# and our beloved Python. In most examples praised to be helpful for computation intensive tasks like cropping and converting images uploaded by users. But why not run Machine Learning task on it? There are numerous Python libraries making the coding relatively easy. However it can be a bit of a pain to set up. Loads of tedious clicking around can be avoided with proper automation. Same goes for bundling of all your dependencies into a single zipfile as required by the AWS’s implementation of FaaS.

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