What are the different types of data used for training AI?
There are several types of data used for training AI, including structured data, unstructured data, semi-structured data, and more.
Can you explain structured and unstructured data?
Structured data is organized and easily searchable, like databases. Unstructured data is unorganized, like text or images.
What role does labeled data play in training?
Labeled data is crucial for supervised learning, as it provides the correct output for the AI to learn from.
Are there any specific examples of unstructured data?
Yes, examples of unstructured data include social media posts, emails, videos, and images.
How do I collect data for training an AI model?
You can collect data through surveys, web scraping, public datasets, or by using APIs to gather information.
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