Supervised machine learning is a branch of AI. This article covers the relevant concepts, importance in various fields, practical use in investing, and CAPTCHA applications.

Summary: Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are ...

To a large extent, supervised ML is for domains where automated machine learning does not perform well enough. Scientists add supervision to bring the performance up to an acceptable level.

Although there are hundreds of supervised machine learning models, only a handful of them—from a category known as regression algorithms—are useful for creating soft sensors. Following is a ...

There has been much recent interest in use of machine learning (ML) for cancer prediction, but few studies comparing ML with classical statistical models for NCGC risk prediction. Methods We trained ...

While some AI techniques (such as expert systems) use other approaches, machine learning drives most of the field’s current progress by focusing on one thing: using algorithms to automatically improve ...

We evaluated machine learning (ML) algorithms trained using factors available at the time of admission for AML therapy to predict death during the hospitalization. Methods We included AML discharges ...