Underspecification Presents Challenges for Credibility in Machine Learning

ML models often exhibit unexpectedly poor behavior when they are deployed in
real-world domains. We identify underspecification as a key reason for these
failures. An ML pipeline is underspecified when it can return many predictors
with equivalently stron… Read more

Read full article

Similar

Simple Mathematical Description of Classification in Machine Learning

This post will be about helping you understand the basics of the main machine learning task : classification. More specifically, we are going to scratch the surface of linear classification and quickly address non linear classification. I assume some basi... (more…)

Non-Machine Learning Image Matching with a Vector DB

Science! Testing various image matching algorithms' performance on the Pinecone vector DB - GitHub - alt-text-org/image-algo-testing: Science! Testing various image matching algorithms' per... (more…)

Taming EKS for Machine Learning on a Budget

Autoscaling-from-0 GPU Spot Instance node groups on Amazon’s Elastic Kubernetes Service, using CloudFormation templates... (more…)

Machine Learning for Future System Designs

As an engineering director leading research projects into the application of machine learning (ML) and deep learning (DL) to computational software for... (more…)

Deep Learning in the Cosmos: Ranking 3 Machine Learning Applications

Did you know deep learning and machine learning are used for cosmology & the study of the universe? We rate these various projects on hype and impact. (more…)

Latest News

We need to keep CEOs away from AI regulation

OpenAI has a conflict of interest in calling for AI regulation: Zerodha CTO

Espanso: Cross-platform Text Expander written in Rust