Glossary

Eager Learning is an AI technique where an exhaustive model is built during the upfront training phase, ensuring quick responses during prediction since no computations are performed post-training. This learning strategy allows us to gain a broad, general understanding of the data set’s features and their correlations. It utilizes the target function ideally on the entire training dataset. This approach to machine learning promotes a thorough grasp of underlying patterns, making eager learning a pivotal aspect of proficient AI systems.

The Ebert Test, proposed by critic Roger Ebert, determines if a synthesized voice can convincingly tell a joke, challenging developers to mimic human vocal nuances.

An Echo State Network refers to a unique type of recurrent neural network known for its sparsely connected hidden ‘reservoir’. Neuron connectivity and weights are fixed and randomized in ESNs.