How to identify and deal with overfitting and underfitting
Software Engineer Machine Learning Interview Questions
8,208 software engineer machine learning interview questions shared by candidates
ML evaluation metrics, algo complexity, system scalability.
What criteria would you use to put a preference on various ML project's.
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.
How do you build a model?
What are the projects you have worked on? Explain any one
Don't remember the exact questions, but the DS/A question was around Leetcode easy level.
Imbalance training set problem GAN training
Tell me about yourself. Can you work without supervision?
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