Deploying a Serverless Machine Learning Model with AWS Lambda

People say that deploying Machine Learning models is hard, which is why I wrote this article (upcoming) to show how developers can easily deploy a Machine Learning model using AWS Lambda and enable it for online HTTP requests.

Fun fact: The article was published in the official AWS Blog!

The article is accompanied by this repo, which contains all the code needed to enable a simple Gradient Boosting Ensemble of Decision Trees for online consumption.

Is there anything more satisfying than getting an OK-status after invoking your model?