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Available Topics

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