If you’re a data scientist or you work with machine learning (ML) models, you have tools to label data, technology environments to train models, and a fundamental understanding of MLops and modelops.

he automation revolution businesses are seeing in the 21st century is comparable to the industrial revolution of the 18th century. Automation refers to the controlling of a system or process using ...

Modelops improves machine learning model development, testing, deployment, and monitoring. Follow these tips to keep model risks in check and increase the efficiency and usefulness of your ML ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

The Texas Advanced Computing Center (TACC) is offering a week-long Machine Learning for Life Sciences Researchers in-person workshop. Designed for bio-related researchers and practitioners, this hands ...