Random forests are the algorithm of choice for finance-focused machine learning models, as it can lower the time taken for pre-processing and data management tasks.

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

ProPublica borrowed machine learning methods from academic research to better understand links between forest loss and spillover risk. The results were surprising, but led us to a story we wouldn ...

Discover how machine learning is helping researchers identify different groups of chronic obstructive pulmonary disease (COPD ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

To generate large and highly detailed forest maps, the researchers trained a type of machine learning algorithm called a deep neural network using images of the tree canopy and other sensor data ...