Deployment Archives - ML in Production

The Ultimate Guide to Deploying Machine Learning Models

"All models are wrong, but some are useful." – George Box This quote by statistician George Box is generally used to illustrate the point that models are simplified representations of reality. Some of these representations very accurately describe the way… Read More

A/B Testing Machine Learning Models (Deployment Series: Guide 08)

This is post 8 in my Ultimate Guide to Deploying Machine Learning Models. You can find the other posts in the series here. For readers interested in experimentation, I’m writing a new series on how to build an effective experimentation… Read More

Test-Driven Machine Learning Development (Deployment Series: Guide 07)

This is post 7 in my Ultimate Guide to Deploying Machine Learning Models. You can find the other posts in the series here. In the previous post of my machine learning deployment series we discussed how a model registry is… Read More

Model Registries for ML Deployment (Deployment Series: Guide 06)

This is post 6 in my Ultimate Guide to Deploying Machine Learning Models. You can find the other posts in the series here. In the last several posts of our machine learning deployment series we discussed how to deploy models… Read More

Online Inference for ML Deployment (Deployment Series: Guide 05)

This is post 5 in my Ultimate Guide to Deploying Machine Learning Models. You can find the other posts in the series here. In our previous post on machine learning deployment we discussed the challenges associated with serving ML models… Read More

The Challenges of Online Inference (Deployment Series: Guide 04)

This is post 4 in my Ultimate Guide to Deploying Machine Learning Models. You can find the other posts in the series here. In our previous post on machine learning deployment we discussed deploying models for batch inference. We described… Read More

Batch Inference for Machine Learning Deployment (Deployment Series: Guide 03)

This is post 3 in my Ultimate Guide to Deploying Machine Learning Models. You can find the other posts in the series here. In our previous post on machine learning deployment we designed a software interface to simplify deploying models… Read More

Software Interfaces for Machine Learning Deployment (Deployment Series: Guide 02)

This is post 2 in my Ultimate Guide to Deploying Machine Learning Models. You can find the other posts in the series here. In our previous post on machine learning deployment we introduced what it means to deploy a machine… Read More

What Does it Mean to Deploy a Machine Learning Model? (Deployment Series: Guide 01)

This is post 1 in my Ultimate Guide to Deploying Machine Learning Models. You can find the other posts in the series here. I recently asked the Twitter community about their biggest machine learning pain points and what work their… Read More

Deploying Models on AWS SageMaker – Part 1 Architecture

A few weeks ago I had the chance to speak to the AI and Data Science Fellows at the Insight Data Science program here in New York City. The fellows in the audience were finishing up their machine learning final… Read More