R1: It was a python test. they had given me table in consisting the information about all tests given by students. each entry in data was representing the test score. so I had to group them using pandas and pivot them by subject wise. I wrote the solution anyhow. then interview was based on basic of python and my solution. Round2: After clearing the round1 i got invitation for the r2 i.e NLP round. this time they had given me the dataset of customer problems and sub problems. I had to train a NLP model that can classify the type of problems into different category. I was learning NLP at that stage so I could not perform well in R2. but yeah I learned alot in these process.
Machine Learning Engineer Intern Interview Questions
8,221 machine learning engineer intern interview questions shared by candidates
Working of Autoencoders, VAEs, GANs etc.
Questions regarding specific machine learning models that I have never heard of before
The difference between a python list and tuple.
How happy are you being ghosted by a company?
What are the dimensions of the product of two matrices?
- cas pratique pour voir la logique
Q: What is Deep Learning? Q: What is Machine Learning? Q: Types of Machine learning Q: Describe about label data Q; Define Fundraising Q: Give me a situation which is related to fundraising
Colloquio tecnico: -Paper da studiare e presentare -Proporre una possibile implementazione per il task Land Classification da immagini SAR
tell me about your experience with LLMs.
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