Tell me about a recent research paper you read. What were the highlights. whats good, whats bad. What are the practical limitations of this paper when applied to the real world cases
Machine Learning Engineer Intern Interview Questions
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How is BERT trained and applied?
If you were to do a different ML model for this project, what would you do? Did you create a baseline to compare your answers to? What backend tools and technologies are you familiar with? How did you handle imbalanced dataset? How would you do regression based on multiple features?
Design an ML system that deals with tracking listens
What is a healthy team?
NDA - ML system design interviews, Resume deep dives, ML coding, ...
How could you tell if a song is a duplicate in our catalog?
They asked me about concave and convex hulls and its implementation.
could you please explain model hallucination
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