What is Uncertainty in Artificial Intelligence?

Skill Level:

Uncertainty in AI refers to the unpredictability or lack of full knowledge about a situation or outcome. AI models often encounter uncertainties due to incomplete or noisy data. Techniques such as Bayesian Inference and Probabilistic Graphical Models are used to quantify and manage uncertainty in AI.

Other Definitions

Game Theory is a mathematical framework used to study and analyse strategic decision-making in situations involving multiple actors or players. It helps businesses understand…
Speech Recognition enables machines to understand and interpret spoken words. By applying natural language processing techniques and AI models, businesses can develop speech recognition…
Weak AI, also known as Narrow AI, refers to AI systems designed to perform specific tasks with human-like intelligence, but without true general intelligence….
Computer vision is a field of AI that focuses on training machines to understand and interpret images and videos. By analysing visual data, machines…