Changing assumptions and ever-changing data mean the work doesn’t end after deploying machine learning models to production. These best practices keep complex models reliable. Agile development teams ...

At its very core, machine learning is an advanced means of making sense of massive amounts of data, and for this reason, machine learning and monitoring should go hand-in-hand. With the ability to ...

Kriendler and Dr. David Ramirez, Chief Quality Officer at CareMore, both spoke about how Sentrian combines machine learning with human insights. "We use a very specific kind of neural network called a ...

Artificial intelligence is quietly transforming how scientists monitor and manage invisible biological pollutants in rivers, ...

The Transaction Monitoring in Fintech Market is expanding as fintech firms deploy AI- and ML-driven systems to combat fraud and meet compliance demands, with the U.S. segment growing from USD 1.98 ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Citation: Ha NT, Manley-Harris M, Pham TD, Hawes I. A Comparative Assessment of Ensemble-Based Machine Learning and Maximum Likelihood Methods for Mapping Seagrass ...

Overview: AI-driven precision farming enables real-time crop monitoring using data from sensors, satellites, and drones to ...

This 25-page handbook is written in a question-and-answer style and is a good starting point in understanding M&E. It provides an overview of some of the basic questions of project monitoring and ...