In first round questions were purely from AI/ML and deep learning. In 2nd round, I was asked about Technical questions related to my resume and previous work experience. Third round was with the founder, where we mostly talked about machine learning deployment and use cases.
How do you rate yourself in Python
Topics were 4 aptitude questions (MCQs) 2/3 questions about ML( correlation, ML etc) 4-6 algorithms like (LCD, Armstrong Number etc )
Q. Clean the data and analyze it based on the questions. Q. Reverse the string.
what is difference between stemming and lemmitization
Algo implementation of an optimization problem
First round focussed on detailed discussion on my experience. Second round were comprising ML / Computer vision technical questions, and some basic python OOP questions at the end.
Wat is ml and how do you know about it
Questions related to Deep Learning and Computer Vision and Machine Learning
Q: How does gradient boosting works?
Viewing 1521 - 1530 interview questions