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 ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

Machine learning uses algorithms to turn a data set into a model ... Random Forests, ... Martin is the author or co-author of nearly a dozen PC software packages and half a dozen Web applications.

Machine learning algorithms. Machine learning depends on a number of algorithms for turning a data set into a model. Which algorithm works best depends on the kind of problem you’re solving, the ...

Random Forest uses machine learning and statistical algorithms to find and analyze private lending investment opportunities, primarily from non-bank, technology-focused, web-based loan originators ...

Out of a random sample of nearly 1,000 locations across 17 countries, ProPublica’s model identified 51 areas that, in 2021 (the most recent year that satellite image data on forest loss was ...