What is unstructured learning in AI?
Unstructured learning refers to the process where AI systems learn from data that is not organized in a predefined manner, such as text, images, or videos.
Can you give me some examples of unstructured learning?
Sure! Examples include natural language processing, image recognition, and analyzing social media content.
How does unstructured learning differ from structured learning?
Structured learning uses labeled data and predefined formats, while unstructured learning deals with raw, unlabeled data.
What are the challenges of unstructured learning?
Challenges include data quality, the need for large datasets, and the complexity of extracting meaningful insights.
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