After earlier explaining how to compute disorder and split data in his exploration of machine learning decision tree classifiers, resident data scientist Dr. James McCaffrey of Microsoft Research now ...

"Clinical decision support systems, for example, are designed to help practitioners stay up to date on new developments without requiring them to spend their entire day reading the medical literature.

Decision trees, regression, and neural networks all are types of predictive models. People often confuse predictive analytics with machine learning even though the two are different disciplines.

Machine Learning is the study of algorithms that improve automatically through experience. Topics covered typically include Bayesian Learning, Decision Trees, Genetic Algorithms, Neural Networks.

Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...