Forward Chaining

What is forward chaining? Forward chaining in artificial intelligence is a method in which inference rules are applied to existing data to extract additional data until an end goal is achieved. In this type of chaining, the inference engine first evaluates existing facts, derivations, and conditions before deducing new information. An end goal is achieved […]

Feature Store

What is a feature store? The feature store for machine learning is a feature computation and storage service that enables features to be registered, discovered, and used as a part of an ML pipeline. It stores, manages, and serves feature data consistently for training and inference purposes. Feature engineering means creation of features. It is […]