The potential for machine learning to transform data-intensive businesses is undeniable, but realizing this potential ...

Many predictive models don’t work well across different settings and populations. But testing them on diverse data can help, ...

An interdisciplinary team of researchers has developed a machine learning framework that uses limited water quality samples to predict which inorganic pollutants are likely to be present in a ...

Comet’s platform allows data scientists and machine learning teams to manage and optimize ... for managing data set versions across any step of the ML pipeline and the addition of continuous ...

Machine learning (ML) is a high-income skill that is integral to many professions, with machine learning engineers and analysts can make as much as up to $129,000 on average, according to latest ...

The WEAVE Stellar Population Survey (WEAVE-StePS) in the next 5 years will exploit this new instrument to obtain high-S/N spectra for a magnitude-limited (IAB = 20.5) sample of ∼25 000 galaxies at ...

At the Databricks Data + AI Summit this week the company expanded its contributions to the Delta Lake initiative, as well as unleashing a wave of new data lakehouse, machine learning and data ...

The successful use of imitation learning to train surgical robots eliminates the need to program robots with each individual ...