What are some real-world examples of unsupervised learning?
Unsupervised learning is used in various fields. For instance, in customer segmentation, businesses analyze purchasing behavior to group customers without predefined labels.
Can you give me another example?
Sure! In image recognition, unsupervised learning helps in clustering similar images together, which is useful for organizing large datasets.
How does it work in natural language processing?
In NLP, unsupervised learning can be used for topic modeling, where algorithms identify topics in a collection of documents without labeled data.
What are the benefits of using unsupervised learning?
The main benefits include discovering hidden patterns in data, reducing the need for labeled data, and enabling more flexible data analysis.
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