AI Glossary & Dictionary for “K”
Find the Flux+Form AI glossary & dictionary to help you make sense of common AI terms. Below you can find an AI Glossary & Dictionary for “K”:
Kalman Filter: An algorithm that estimates the state of a system from noisy observations, used in tracking and forecasting.
Kernel Method: A class of algorithms that implicitly map data into high‑dimensional spaces to perform linear classification or regression.
Kernel Trick: A mathematical technique that allows algorithms to operate in high‑dimensional spaces without explicit computation.
K‑Fold Cross Validation: A method for evaluating model performance by splitting the data into k parts and training/testing k times.
K‑Means Clustering: An algorithm that partitions data into k clusters by minimizing the distance between points and cluster centroids.
K‑Nearest Neighbors: A simple, instance‑based algorithm that classifies new points based on the majority class of their nearest neighbours.
Key Performance Indicator or KPI: A quantifiable measure used to evaluate the success of an organization or activity, such as cost per acquisition or return on ad spend.
Knowledge Base: A centralized repository of structured information used to support reasoning, answering questions and training models.
Knowledge Distillation: Transferring knowledge from a large model to a smaller model by training the smaller model to replicate the larger model’s outputs.
Knowledge Graph: A graph‑based representation of entities and their relationships, enabling structured reasoning and improved recommendations.
Kullback–Leibler Divergence: A measure of how one probability distribution diverges from another, often used to measure model performance.
This concludes the AI Glossary & Dictionary for “K”.