What is data representation in AI?
Data representation in AI refers to how information is structured and stored for processing by algorithms.
Why is data representation important in machine learning?
It's crucial because the way data is represented can significantly affect the performance of machine learning models.
Can you give examples of different data representations?
Sure! Common representations include vectors, matrices, and graphs, each suited for different types of data.
How does data representation impact model accuracy?
A well-chosen representation can enhance model accuracy by making patterns more discernible, while poor choices can obscure them.
What are some challenges in data representation?
Challenges include dealing with high dimensionality, ensuring data quality, and selecting the right representation for the task.
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