Glossary

The Chomsky Model, rooted in linguistics and philosophy, shapes understanding of natural language processing in machine learning. Proposed by Noam Chomsky, these influential theories form a significant part of NLP study.

Explore Classification, a key supervised learning method in machine learning. Used for categorizing data into pre-set classes or labels, it helps in meaningful data analysis.

Precision Vs Recall deals with the accuracy and completeness of relevant items identified. Precision ensures the accuracy of identified items, while Recall tests the successful detection of all correct ones.

Cobweb is an innovative system by Professor Douglas H. Fisher, used for hierarchical conceptual clustering. It forms a classification tree, with each node symbolizing a class or concept, labeled by a probabilistic description of that concept. This system is remarkable for organizing numerous observations strategically.

Cognitive Architecture is a theoretical model that outlines the inherent structures enabling minds to display intelligent behaviors, in both natural organisms and artificial systems. This model covers how fixed mental structures operate with knowledge and skills to foster intelligent behavior in complex environments.

Cluster analysis is a strategic method applied in data mining and machine learning, focusing on classifying similar data points together due to their shared attributes or features.