EDGE OSDEFINITION
Unsupervised learning is another form of Machine Learning where an algorithm tries to find patterns in the data. As the name suggests there are no pre-defined categories or labels like with Supervised Learning. The model will simply take the training data given to it and try to identify patterns within that data.
Unsupervised learning techniques are used in business for customer segmentation, anomaly detection, grouping together similar products and finding hidden relationships within the data. Popular techniques used include clustering, dimensionality reduction and association rules.
Why it is important
- Find hidden patterns within un-labeled data.
- Less labeling required.
- Discover relationships within the data.
- Can help with data discovery.
When would you use it?
- Customer segmentation
- Fraud and anomaly detection.
- Grouping similar products.
- Analyzing large data sets.
See it running on your own hardware
Vanik Edge OS runs AI models, agents and apps inside your building, so your data stays there.