The interview process consists of 1 aptitide + 2 technical rounds (No HR round) Aptitude round - Total of 80 questions ( 78 + 2 coding ( medium-level )) First Technical Interview :- The interviewer was very friendly and asked some basic questions about python and machine learning and AI (regularization, dropout layers etc.) and some questions regarding my project Second Technical Interview :- This interview was more focused on my work that I had done in my internships. The interviewer also asked some questions on a machine learning case study and in the end asked some easy coding questions to solve
Machine Learning Developer Interview Questions
8,210 machine learning developer interview questions shared by candidates
Project Experience, Machine Learning Concepts, Python Questions
Tell me about yourself. Which algorithm did you work on your project? Have you chosen another algorithm to do it? and what was that?
Questions on conV 1D construction
Explain linear regression and a problem on probability
Talk about yourself Why Oracle Do you have a question
Design a system to detect traffic light signals.
Describe your favourite ML algorithm. I described SVM's operating principle.
4) What is loss function and activation function? explain this W.R.T back propagation in NN
1) Explain Decision trees, how how would a tree split numerical data.
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