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Could you define the concepts of overfitting and underfitting in machine learning, and explain their relevance in model development?
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Data Analyst
Marketer
General
Beyond basic definitions, be prepared to discuss bias-variance tradeoff and practical techniques to detect and prevent these issues in real-world model development.
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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.