Glossary

Forward Chaining is an AI technique where known facts are used to drive rule-based systems towards creating or deriving new facts, using a bottom-up approach.

Federated Learning is an innovative machine learning method that enhances data security and privacy by training a model across multiple devices or servers, without exchanging local data samples.

Feature Selection in machine learning involves choosing the most significant input variables or features for model construction, enhancing accuracy and efficiency.