Introduce yourself - Explain about project
Machine Learning Intern Interview Questions
8,208 machine learning intern interview questions shared by candidates
What are activation functions for? compare them and explain when each of them can/should be used? How does quantization work and why is that used? How do you implement it in Pytorch, etc. How do you define a customized layer in pytorch using C/C++?
Can you share any own projects?
Q: What is the meaning of "overfitting"?
Tell me about your previous experience and how it applies to this role. Some technical questions on ML and deployments
- Describe relative pros and cons of Object Oriented programming - Write a function that computes raising an integer to an exponent, and discuss runtime complexity issues (they want to see pointless trivia answer with recursion on half the exponent). - Talk about some natural language processing applications, general machine learning. Interviewer didn't seem to know many details about machine learning. - Write a function that transforms some input text into word counts.
from which college you got the degree.
What experience do you have with 2-stage computer vision models?
Lots of recursion questions, a few machine learning questions
General questions about experience, careers goals, etc.
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