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 ...

For anyone managing IT ops, setting performance thresholds has been a big, and tedious, part of the job. I mean, if you don’t tell the system that 8,000 server calls in an hour is way too many, how’s ...

Once machine learning models make it to production, they still need updates and monitoring for drift. A team to manage ML operations makes good business sense As hard as it is for data scientists to ...

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 ...

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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 ...

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 ...

Hero Medical Technologies Awarded OTA by MTEC to Advance Machine Learning and Wearable Sensing for Field Triage ...

If you liked this story, share it with other people. Scientists have combined passive acoustic monitoring, machine-learning tools and aerial surveys to estimate the population of North Atlantic right ...