Unsupervised learning

AI fundamentals

Unsupervised learning works on unlabelled data: the model discovers structures, groups or anomalies on its own. Customer segmentation, unusual-behaviour detection and clustering of similar documents are typical applications.

In practice at Gensai

Gensai uses it indirectly: the semantic grouping of documents in its search engines is a direct descendant.

Same theme

Artificial intelligence (AI)Algorithm Data Dataset Model (AI)Machine learning Deep learning Neural network Supervised learning Reinforcement learning Classification Regression Prediction Training Inference Parameters Hyperparameters Bias (AI)