Glossary

Discover the power of Attention Mechanisms, vital in machine learning models for differential input weighing and prediction accuracy enhancements.

Attributional Calculus is a logic system expertly termed by Ryszard S. Michalski, supporting inductive and deductive inferences and enhancing learning through attributes.

Autoencoders are artificial neural networks developed for unsupervised learning. They are vital for learning efficient data coding, especially when reducing dimensionality in unlabeled data.