#Definition: What is supervised learning in AI?

The media update team explores the topic. Supervised learning can be defined as a type of machine learning algorithm that relies on a training dataset to make predictions. Breaking it down to basics, supervised machine learning is when a system receives a training dataset made up of input data and corresponding output data. From the training data, the system learns how the input led to the output data, creating a model – or what is called a'mapping function'. It can then be given different input data to predict what the output would be, based on the patterns it recognised in the training set it has learnt from.