McClusky said TIGA is using geologic data, along with past performance data, in machine learning classification applications (such as k-nearest neighbor, logistics regression, and random forests ...

Supervised and unsupervised learning describe ... groups according to their classification and color (a common problem in machine learning image recognition applications). With supervised learning ...

Machine learning is a branch of artificial ... sample biases that caused it to downgrade all job applications from women. Automatic classification of pathology and radiology images has advanced ...

Many of the aforementioned machine learning applications, including facial ... for complex problems like voice recognition and image classification. Voice assistants like Amazon’s Alexa and ...

Ocean color remote sensing (OCRS) provides crucial insights into marine ecosystems, detecting phytoplankton blooms, measuring ...

Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process ...

More information: Yun-Fei Shi et al, Machine Learning for Chemistry: Basics and Applications, Engineering (2023). DOI: 10.1016/j.eng.2023.04.013 Provided by Engineering ...