AI Glossary
A comprehensive collection of AI terminology and definitions.
A
Artificial Intelligence (AI)
The simulation of human intelligence processes by machines, especially computer systems.
Algorithm
A set of rules or instructions given to an AI, neural network, or other machine to help it learn on its own.
Autonomous
Having the ability to act independently without human intervention.
B
Bias
Systematic errors in AI systems that can lead to unfair outcomes for certain groups.
Big Data
Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations.
C
Computer Vision
A field of AI that trains computers to interpret and understand the visual world.
Chatbot
A computer program designed to simulate conversation with human users, especially over the internet.
Clustering
A machine learning technique that groups similar data points together based on their features.
D
Deep Learning
A subset of machine learning that uses neural networks with many layers (deep neural networks).
Data Mining
The process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.
M
Machine Learning
A subset of AI that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
Model
A mathematical representation of a real-world process built by a machine learning algorithm.
N
Natural Language Processing (NLP)
A branch of AI that helps computers understand, interpret, and manipulate human language.
Neural Network
A computing system inspired by the biological neural networks that constitute animal brains.
T
Transfer Learning
A machine learning technique where a model developed for one task is reused as the starting point for a model on a second task.
Transformer
A deep learning model architecture that uses self-attention mechanisms to process sequential data.