In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

The study introduces a unique approach that combines machine learning algorithms, such as XGBoost and LightGBM, with ICESat-2 satellite data and multispectral imagery from Landsat-8 and Sentinel-2.

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

It doesn’t take much to make machine-learning algorithms go awry The rise of large-language models could make the problem worse This is not an apple Image: Alamy Apr 5th 2023 | 6 min read ...