11.4 - Core Algorithms
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Practice Questions
Test your understanding with targeted questions
What does KNN stand for?
💡 Hint: Remember the word 'Neighbors.'
What is the purpose of Matrix Factorization?
💡 Hint: Think about uncovering secrets in data!
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does K in KNN represent?
💡 Hint: Think about the meaning of 'neighbors' in a community.
True or False: Matrix Factorization can only be applied to explicit feedback data.
💡 Hint: Consider whether you always need ratings.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Using KNN, how would you recommend new items to users without historical data?
💡 Hint: Consider demographic data.
Design a hybrid recommender system combining Matrix Factorization with KNN. What steps would you take?
💡 Hint: Think about leveraging strengths of both methods.
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