Machine learning is a subfield of artificial intelligence in which algorithms learn patterns from data to make predictions or decisions, rather than following hard-coded rules. Instead of rigid rules, machines analyse large amounts of data, identify patterns, relationships and structures within it, and improve their performance based on these experiences.
Artificial neural networks (ANNs) are a specific class of machine learning models inspired by the structure of the human brain. They consist of interconnected ‘neurons’ arranged in layers. They form the backbone of machine learning by recognising complex patterns in large amounts of data, thereby enabling numerous applications.
