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Can you share the processes you use to identify and prevent ML-related mistakes from happening? Tell me about a time when a mistake was made on a project you were working on. What did you learn from that experience?
Tags
Data Analyst
Marketer
General
Describe your approach to ML quality assurance (testing, model validation, etc.) while preparing a specific example that demonstrates your problem-solving skills and growth mindset.
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Very hard Difficulty
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Technical question
Technical questions probe into your industry-specific knowledge and skills. They require precise answers and are an opportunity to show your expertise and practical abilities in your field.