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.
Predictive Analytics uses historical data and statistical modelling techniques to make predictions about future outcomes. By analysing patterns and trends within data, businesses can…
