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Can you explain the concept of collaborative filtering in the context of machine learning?

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Data Analyst
Marketer
General
ML Knowledge

Focus on both user-based and item-based collaborative filtering approaches, with practical examples of recommendation systems.

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Hard Difficulty

Hard questions require advanced understanding and critical thinking. Here, your problem-solving skills are key, as these questions often involve complex scenarios needing in-depth analysis and well-structured responses.

ML Knowledge question

ML Knowledge questions test your theoretical understanding of machine learning concepts. Showcase your grasp of algorithms, model training techniques, feature engineering, and the mathematical foundations of artificial intelligence.

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