In the world of machine learning, algorithms thrive on unsupervised data. They analyze large volumes of information without explicit labels, and yet still manage to learn useful patterns.

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Unsupervised learning eliminates the need for human input in creation of the AI engine. It uses unlabeled data and derives the underlying semantics and patterns which are then used to make decisions.