The Interviewer asked about basic Deep learning concepts and architecture like gradient descent, CNN's etc. How to avoid overfiiting, data augmentation and basic ML and DL concepts. Andrew NG course was also something we discussed about.
13 Domande di colloqui condivise dai candidati | python ai ml developer
The interview process included a thorough examination of my resume, with detailed questioning and scrutiny of my qualifications and experiences.
What is the difference between a list, a tuple, and a dictionary? Which of these is mutable?
What is cnn and rnn ?
Details of building RAG system within enterprise
Coding challenge unrelated to position
They asked about my Introduction
What is the types pf machine learning?
Project overview and tech stack which was used, also question on tech stack.
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.
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