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 ...

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.

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

Attacks against web applications are the ... and selected the Random Forest algorithm to identify threats in encrypted communication traffic. This mature Machine Learning (ML) algorithm produces ...

Artificial Intelligence (AI) has a problem -- it’s artificial. To be fair, AI and its sister disciplines of machine learning, cognitive computing, sentiment analysis and neural networking have a ...

Machine learning (ML) models have been increasingly used in clinical oncology for cancer diagnosis, outcome predictions, and informing oncological therapy planning. The early identification and ...

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 ...

Exposing human data to algorithms exposes bias, and if we are considering the outputs rationally, we can use machine learning’s aptitude for spotting anomalies. But the machines can’t do it on ...