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The dot product, and why similarity is just an angle

After this lesson you can: Explain why two similar things have a large dot product.

First: Vectors, and what they actually represent

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Notes

A vector can represent an object as a list of numbers: features, measurements, counts, ratings, or embedding coordinates. The dot product multiplies matching coordinates and adds the results. That sounds like a mechanical formula, but geometrically it measures how much two vectors point in the same direction, especially when their lengths are controlled or normalized.

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