Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Supervised and unsupervised learning describe two ways in which machines - algorithms ... groups according to their classification and color (a common problem in machine learning image recognition ...

A machine learning model starts with a training set of image data. The algorithm then needs to be checked to make sure it correctly identifies similar images. With wafer test maps, classification is ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential ...

Researchers have developed a new machine learning algorithm ... a "feature importance map" that highlights exactly which parts of the spectrum contributed to a classification decision, making ...