ML questions cover topics such as data imbalance, collinearity, feature selection, linear regression, logistic regression, L1/L2 norm regularization; ML application question -- how would you design a recommendation system that recommend books to users;
Explain your research, and how can you build up rec systems for Amazon drivers.
Describe a random forest model
We have a large store, we have a robot with a camera in our store, we would like to process the images collected by our robot but we cannot use techniques from image classification because we would have to many classes. What should we do?
Create a Battleship kind of game in python. Interviewer really helped me out a lot in this to make the game more efficient using dictionaries
Asked me basic ML breadth and depth and one dsa question.
Leetcode medium questions. The interview was basically a discussion on edge cases
Machine learning, projects, experience and finally coding
About my research and its applications.
OA: Anagram, factors of number Ml fundamentals: what is precision, recall types of ml problems explain l1 vs l2 explain how clustering works and many more fundamental questions.
Viewing 1041 - 1050 interview questions