When AI finds patterns in data without being told what to look for.
In Unsupervised Learning, the AI is given a pile of mess, unlabeled data and asked to organize it. It looks for similarities and structures on its own, grouping related items together.
It's powerful for discovery. It can find customer segments you didn't know existed or detect weird anomalies in financial data that might indicate fraud.
A few adjacent definitions to lock in the concept.
A subset of machine learning that uses multi-layered neural networks to learn from vast amounts of data.
Tags: MechanicsThe process of training a pre-existing AI model on specific data to make it an expert.
Tags: MechanicsThe moment the AI actually 'thinks' and produces an output after you hit enter.
Tags: Mechanics