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Vector Distance Metrics (Euclidean, Cosine, Dot Product)
Learning Objectives
- •Euclidean distance vs squared L2
- •Cosine similarity normalization
- •SIMD vector dot product math
Weekly Outcome
Master the core concepts of vector distance metrics & nearest neighbor search.