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

Speech Recognition enables machines to understand and interpret spoken words. By applying natural language processing techniques and AI models, businesses can develop speech recognition…
Supervised Learning is a Machine Learning approach where models are trained using labelled data, with both input and output pairs. By learning from the…
Sentiment Analysis is an AI technique that analyses emotions and opinions expressed in text data. Sentiment analysis can classify text as positive, negative, or…
A ChatBot is an AI-powered robot that communicates with users via written or spoken language, helping them with tasks or providing information. It uses…