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Machine Learning Data Scientist Interview Questions
467 machine learning data scientist interview questions shared by candidates
Some coding about mapping a 2D grid
what approaches could address overfitting?
There were 2 business cases related to their basic problems like hotel recommendation. You need to start describing the solution, taking into account the lack of users at the beginning, and how the solution will be improved in the future.
Design a system to predict how many days it will take before a hotel is fully booked for the users selected date range.
There were different machine learning classification techniques based on Booking domain.
Did you have any experience with deployment or operationalization of models? What are the things you look into before deploying the model?
What is the difference between R^2 adjusted and not adjusted?
What's the difference between MLE and MAP inference?
How do you train large scale data?
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