11.4.2 - Matrix Factorization
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Practice Questions
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What is matrix factorization?
💡 Hint: Think about how movie recommendations work.
Name one technique used in matrix factorization.
💡 Hint: Consider different mathematical methods for matrix analysis.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary purpose of matrix factorization?
💡 Hint: Think about what insights can be derived from matrix decomposition.
True or False: NMF allows negative values in its matrices.
💡 Hint: Consider the implications of negative ratings.
2 more questions available
Challenge Problems
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Given a user-item interaction matrix of ratings from 1-5 for 5 users and 5 items, demonstrate how you would apply SVD to find the latent factors. Include detailed computation steps.
💡 Hint: Break the steps into individual matrix computations.
Describe a scenario where the choice between SVD and NMF might fundamentally impact the results of a recommendation engine. Provide rationale for each choice.
💡 Hint: Think about the user base and nature of data you would deal with.
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