Using a decision tree classifier from an ML library is often awkward because in most situations the classifier must be customized and library decision trees have many complex supporting functions.

Using a decision tree classifier from a machine learning library is often awkward because it usually must be customized and library decision trees have many complex supporting functions, says resident ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

While I’m the CEO of a company that offers ML-based data discovery, I’ll tell you there are several caveats you should consider before deciding whether any ML-based solution is for you.

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.

"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.