Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...

What is regularization in machine learning? Regularization in machine learning is a set of techniques used to ensure that a machine learning model can generalize to new data within the same data set.

Machine learning powers your streaming recommendations, bank fraud alerts and most modern AI tools. Here are the five ...

Can we ever really trust algorithms to make decisions for us? Previous research has proved these programs can reinforce society’s harmful biases, but the problems go beyond that. A new study shows how ...

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning. MA ...