Project Experience, Machine Learning Concepts, Python Questions
Machine Learning Engineer Interview Questions
6,176 machine learning engineer interview questions shared by candidates
Design a system to detect traffic light signals.
What are your experiences with classification? How did you design your ML pipeline?
The questions in the first technical interview will be mostly based on your resume. You will also be given a programming question.
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
1) Explain Decision trees, how how would a tree split numerical data.
Machine learning algorithms. Difference between bias and variance. How do you train a model from the start.
What is LSTM and GRU
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
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