What are your experiences with classification? How did you design your ML pipeline?
Machine Learning Research Interview Questions
1,840 machine learning research interview questions shared by candidates
About Cloud concepts, Security, Kubernetes etc
L'accordo di non divulgazione non mi permette di fornire questa info.
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.
Tell me about yourself. Which algorithm did you work on your project? Have you chosen another algorithm to do it? and what was that?
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.
Viewing 1631 - 1640 interview questions