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 Interviews
Machine Learning Interview Questions
"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
8,203 machine learning interview questions shared by candidates
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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