Leetcode questions with difficult medium or up
Learning Engineer Interview Questions
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NLP side of things CNN/LSTM/Attention mechanism. Recommendation systems - collaborative filtering Active learning, Model building and deployment Team handling
How would you train such a model?
What is the function for machine learning? (what is a weight, what is a bias)
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
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
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.
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