Tag: deep-learning


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linear-algebra derivation statistics singular-value-decomposition neural-networks gradient-descent regression matrix-diagonalization classification word-embeddings r-squared pointwise-mutual-information parameter-optimization p-hacking ordinary-least-squares normal-equations natural-language-processing model-selection matrix-identities low-rank-approximation loss-functions least-squares-regression information-theory image-compression hypothesis-testing expected-value deep-learning data-compression bias-variance-tradeoff backpropagation