Inference: The output of a machine learning algorithm is often referred to as a model. You can think of ML models as dictionaries or reference manuals as they’re used for future predictions.

Compared with the secondaries market’s largely bottom-up approach to pricing portfolios, Oliver Gottschalg, professor of ...

Based on the patterns they find, computers develop a kind of “model” of how that system works. For instance, some programmers are using machine learning to develop medical software.

A machine learning model that processes text must not only compute every word but also take into consideration how words come in sequences and relate to each other.

All in all, not all advanced machine learning models are black box, and for most applications, a degree of explainability is sufficient to meet legal and regulatory requirements.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

How machine learning algorithms make inferences Each model has a certain number of parameters. A parameter is an element of a model that can be changed.

Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that ...

However, we are not in a technological state where a machine learning model can just work on anything that is thrown at it—that is, not without some kind of external guidance.