Below are some example use cases for unsupervised learning
Posted: Tue Feb 11, 2025 7:11 am
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Use cases for unsupervised machine learning
Unlike supervised learning, unsupervised learning can process large amounts of data in a short period of time. Because the model automatically detects structures in the data (classification), it is useful in cases where humans would have a hard time detecting trends within the data themselves.
For example, if you are trying to group prospects for marketing purposes, an unsupervised clustering method is a good approach.
Group customers according to their purchasing behavior
Find correlations in customer data (e.g. people who buy bags in a certain style might be italy telegram data interested in a certain type of shoes)
Segment data by past purchases
Classify people according to different interests
Group inventories by manufacturing and sales metrics
Wood told us that he once worked for a pharmaceutical company with manufacturing facilities around the world. The software the company used to track defects in its manufacturing facilities didn't offer a drop-down menu to choose from common defect categories.
Use cases for unsupervised machine learning
Unlike supervised learning, unsupervised learning can process large amounts of data in a short period of time. Because the model automatically detects structures in the data (classification), it is useful in cases where humans would have a hard time detecting trends within the data themselves.
For example, if you are trying to group prospects for marketing purposes, an unsupervised clustering method is a good approach.
Group customers according to their purchasing behavior
Find correlations in customer data (e.g. people who buy bags in a certain style might be italy telegram data interested in a certain type of shoes)
Segment data by past purchases
Classify people according to different interests
Group inventories by manufacturing and sales metrics
Wood told us that he once worked for a pharmaceutical company with manufacturing facilities around the world. The software the company used to track defects in its manufacturing facilities didn't offer a drop-down menu to choose from common defect categories.