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If you were tasked with finding ways to match job postings to individuals in their city based on their past activities, how would you approach it?

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Data Analyst
Marketer
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ML Case

Discuss recommendation systems algorithms, feature engineering, and evaluation metrics while considering both content-based and collaborative filtering approaches.

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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 Case question

ML Case questions present machine learning scenarios to assess your applied AI knowledge. Demonstrate your approach to framing problems, selecting appropriate models, evaluating performance, and deploying machine learning solutions effectively.

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