What are the different data types in AI?
In AI, data types include structured, unstructured, and semi-structured data. Structured data is organized in a predefined format, like databases. Unstructured data is raw and unorganized, such as text and images. Semi-structured data has some organizational properties, like JSON or XML.
Can you give examples of each data type?
Sure! For structured data, an example would be a SQL database with tables. Unstructured data examples include social media posts or videos. Semi-structured data could be a JSON file containing user information.
How does AI process these different data types?
AI processes structured data using algorithms that can easily interpret the format, while unstructured data requires techniques like natural language processing or image recognition to extract meaningful information.
What challenges do AI systems face with unstructured data?
AI systems struggle with unstructured data due to its variability and lack of organization, making it difficult to analyze and derive insights without advanced processing techniques.
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