Data Science Intern Interview Questions

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Science breadth: Heavily focused on the fundamentals of linear regression - derive solution, uncertainty modeling, Bayesian linear regression, what can go wrong when training deep neural networks, supervised/unsupervised/reinforcement learning differences. Science depth: focused on learning to rank
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Applied Science Intern

Interviewed at Amazon

3.5
Jul 7, 2022

Science breadth: Heavily focused on the fundamentals of linear regression - derive solution, uncertainty modeling, Bayesian linear regression, what can go wrong when training deep neural networks, supervised/unsupervised/reinforcement learning differences. Science depth: focused on learning to rank

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