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ml-recall

#matrix-factorization

2 questions from Dimensionality Reduction, Neural Network Basics

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Question 1: Single choice

mediumAI-checkedDimensionality Reduction

You use LSA for topic modelling: the bag-of-words matrix of NN documents and VV vocabulary words is factored as XN×V≈ZN×K WK×VX_{N \times V} \approx Z_{N \times K}\, W_{K \times V} with KK topics. Which matrix tells you how much of each topic every document contains?

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