The Data Science Lab Binary Classification Using a scikit Decision Tree Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...

Deep learning models applied to drone images offer a fast, accurate, and scalable alternative to costly manual tree surveys.

Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are ...

Dermatologists typically classify skin lesions based on multiple data sources. Algorithms that fuse the information together can support this classification. An international research team has now ...

The Irish philosopher George Berkely, best known for his theory of immaterialism, once famously mused, "If a tree falls in a forest and no one is around to hear it, does it make a sound?" What about ...