How would you solve the semantic segmentation problem
Machine Learning Research Scientist Interview Questions
113 machine learning research scientist interview questions shared by candidates
What is the most difficult thing you ever faced in your life and how did you handle it?
Q: How can you implement this? Q: How can ML help us in this case?
Most questions were about my experience in machine learning and computer vision.
They asked question about dsa/ml
Tell me about a model of time series data.
Q: What is the meaning of "overfitting"?
What is cross sectional analysis and when should you use it?
You have a partially observable environment with evolving dynamics (non-stationary transition and reward distributions). Logged data comes from multiple behavior policies. How would you estimate the expected return of a new policy and safely improve it, without deploying it, while accounting for uncertainty in both the dynamics and the behavior policies?
Q: Talk about why you would want to use a specific model.
Viewing 61 - 70 interview questions