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I have to agree that these interview questions function more as a cheatsheet review than actually anything practical that would be seen in an interview. Data sc

I have to agree that these interview questions function more as a cheatsheet review than actually anything practical that would be seen in an interview. Data science interviews don't function as a biology test where you're just rattling off memorizations to how neural networks or linear models work. Ultimately these types of questions like "What is feature selection" are more likely to be encapsulated into case studies where the answer to the question itself will be, using feature selection. For example: "Let's say you have thousands of categorical features for an anonymized dataset involving human traits, how would you figure out which predictors are the most important?" Source: https://www.interviewquery.com/ https://www.interviewquery.com/

marcinzm 6y ago
>I have to agree that these interview questions function more as a cheatsheet review than actually anything practical that would be seen in an interview. Data science interviews don't function as a biology test where you're just rattling off memorizations to how neural networks or linear models work. Me and my co-workers have been asked exactly that by top companies although it was more for machine learning engineer/applied scientist positions. Many textbook questions asked one after the other. It's not the only interview type they did but it definitely mattered and was often the first filter. So if you didn't answer well enough then you were out.