Deep learning involves using an artificial ‘neural network’ — a collection of ‘neurons’ connected together.

An artificial neuron has one or more inputs. It performs a mathematical calculation based on these to deliver an output. The input-output function can vary. A neuron ...

Some of the most effective machine learning algorithms beyond deep learning include:

• ‘random forests’ that create multitudes of decision trees to optimise a prediction;
• ‘Bayesian networks’ that use a probabilistic approach to analyse variables ...

Machine learning (ML) is a subset of AI. All machine learning is AI, but not all AI is machine learning. Interest in ‘AI’ today reflects enthusiasm for machine learning, where advances are rapid and significant.

The goal of most machine learning is to develop a pred...