In a previous blog post, I talked about how to deploy applications using the Heroku CLI. The purpose of this post is to demonstrate deploying a simple python app from Sagemaker to Heroku using Docker instead of the CLI. Since Heroku is not a universally accepted tool across the industry…

Together, SMSL and Heroku make a powerful (and free!) combination that makes it easy to develop and deliver machine learning applications. Amazon SageMaker Studio Lab (SMSL) is a free machine learning (ML) development environment that provides the compute, storage (up to 15GB), and security — all at no cost —…

Amazon SageMaker Studio Lab is a free machine learning (ML) development environment that provides the compute, storage (up to 15GB), and security — all at no cost — for anyone to learn and experiment with ML! It’s a real game changer for ML students and enthusiasts. SMSL provides an amazing…

Amazon SageMaker Studio Lab is a free machine learning (ML) development environment that provides the compute, storage (up to 15GB), and security — all at no cost — for anyone to learn and experiment with ML! It’s a real game changer for ML students and enthusiasts. If you haven’t already…

Amazon SageMaker Studio Lab is a free machine learning (ML) development environment that provides the compute, storage (up to 15GB), and security — all at no cost — for anyone to learn and experiment with ML! It’s a real game changer for ML students and enthusiasts. To get started with…

As a data scientist, you often create visualizations that tell a story about your data. But you may feel limited by the fact that these visualizations live exclusively in your macbook’s jupyter or python file. Perhaps you’ve tried exporting them as jpg files using matplotlib, but that just feels insufficient…

Heroku is a cloud platform that lets developers build, deliver, and scale their apps — bypassing infrastructure headaches and focusing on deploying our apps to end-users. Sign up for a free Heroku account if you haven’t already. Download & install the Heroku CLI. If you’re installing on Amazon Sagemaker Studio…

Introduction Note: You can view this tutorial as a video on youtube. How does a machine learning engineer make their model results accessible to end-users via the web? This once-daunting task is now pretty straightforward using a combination of AWS services, especially SageMaker and Lambda. Amazon SageMaker is a powerful tool…

This walk-through is designed to help newcomers become familiar with using an AWS Lambda function in combination with an S3 bucket and IAM roles. The walk-through assumes you already have an AWS account and some familiarity with AWS services and the console. …