ML evaluation metrics, algo complexity, system scalability.
Learning Development Interview Questions
14,634 learning development interview questions shared by candidates
How to identify and deal with overfitting and underfitting
How to collaborate effectively with other business units
You are not British, aren't you? (Illegal question in the UK)
Highlight past achievements
Describe my past experience
1st round: Semi-technical interview with hiring manager. We went through one of my past projects on github related to object detection using neural networks. Asked me questions related to deeper vs broadre neural networks, vanishing gradients, their remedy, loss functions, training and validation curves, etc. Overall, nice interview for me. I was selected for final round. They sent me a coding task related to machine learning on which their was working, and gave me 10 days to work on it. Additionally they sent me a research paper from Valeo, and asked me to prepare a presentation for final interview. Final Round: There were 8 interviewers in total, including the authors from the research paper. Interview was structured into two parts: Coding challenge discussion for 1 hour, and research paper presentation and Q/A for 1 hour. Interview was super technical, with questions in presentation round about future ideas for the paper. Even though it was an involved discussed, I thought my interview went good enough.
What criteria would you use to put a preference on various ML project's.
Q: How much do you know about the company?
Q: What is overfitting? Could you give an example?
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