Standard Economic Model
A theoretical framework in economics that assumes individuals act rationally and seek to maximize utility, used to predict economic behavior and outcomes.
A theoretical framework in economics that assumes individuals act rationally and seek to maximize utility, used to predict economic behavior and outcomes.
Location, Alphabet, Time, Category, and Hierarchy (LATCH) is a framework for categorizing information.
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
A component in neural networks that allows the model to focus on specific parts of the input, improving performance.
Ontology is a comprehensive model that includes entities, their attributes, and the complex relationships between them, while taxonomy is a hierarchical classification system that organizes entities into parent-child relationships.
The process of making predictions about future trends based on current and historical data.
The ability to identify and interpret patterns in data, often used in machine learning and cognitive psychology.
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing.