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.

This suite includes both unsupervised (B-SOiD) as well as supervised algorithms (A-SOiD) which learn behaviors and add interpretability to pose estimation data. We simultaneously recorded from neurons ...

Introduction to Supervised Learning ¶ the task of supervised learning is as follows: Given a training set of N example input-output pairs (x1,y1), (x2,y2), … (xN,yN) (x 1, y 1), (x 2, y 2), (x N, y N) ...