15 February 2022
Prediction intervals as quantification of predictions using a neural network
Prediction intervals (PPs) offer a convenient way to quantify forecast uncertainty, so they have been widely used in forecasting practice. PPs can provide information about best- […]
28 January 2022
Recurrent neural networks
Recursive Neural Networks (RNNs) are used to model and predict variables that evolve over time. Unlike standard neural networks, they have the ability to remember the […]
19 January 2022
How the AI revolution is changing business
Artificial intelligence (AI) has been with us since the 1950s, when Alan Turing proposed a test to examine whether a computer could convince a human being […]