Training Archives - ML in Production

Deploying Models on AWS SageMaker – Part 2 Training

In my last post, I introduced Amazon SageMaker, Amazon’s fully-managed service for building and deploying machine learning models in production. We took a high-level look at SageMaker’s architecture, examining how different AWS services, like EC2, ECR, and S3, are tied… Read More

Kubernetes Jobs for Machine Learning

In my previous post I introduced Kubernetes Pods, the basic building block of the Kubernetes ecosystem. In that post I discussed what a Pod is, how it fits into the Kubernetes system, and how to create, view, and delete a… Read More

How Data Leakage Impacts Machine Learning Models

The silver bullet. A feature that led to AUC increasing from .6 to .8. After working on feature engineering for several months, I thought I had finally cracked the code and created a feature that pushed my machine learning model… Read More