What are the best practices for using vectors in AI?
When using vectors in AI, it's important to ensure they are normalized, properly scaled, and relevant to the task.
Can you explain why normalization is important?
Normalization helps to maintain consistency in vector magnitudes, which is crucial for accurate distance calculations.
What are some common mistakes to avoid when working with vectors?
Common mistakes include not normalizing vectors, using irrelevant features, and ignoring dimensionality reduction.
How can I visualize vectors effectively?
You can use tools like Matplotlib or TensorBoard to visualize vectors in 2D or 3D space for better understanding.
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