First two rounds: CNN, Transfer Learning, Bagging, Boosting and project related questions. I was given a task of implementing some techniques to improve the classification accuracy of a product classification model. Rest of the rounds: Data Structures, Algorithms and basics of distributed systems.
How much Research have you done in deep learning ?
Why LR could give you negative orediction
Projects i have worked on, how I handle certain issues, what technologies I know. Some basic questions during the L2 round
Why do you use this technique in your research?
Mathematical solution to system of equations
Why would you leave teaching where you obviously are very happy to come work for Flinn?
How would you delineate a wetland?
Can you think of a time when you worked for a client to complete a project?
Strengths, Weakness Biggest achievement, Talk about your experience and why you are the best fit for that position.
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