How many teabags are sold every year for a particular company?
Data Science Intern Interview Questions
40,358 data science intern interview questions shared by candidates
Moderate level questions on the decisions to apply a particular ML algorithm on a dataset, (What they're looking for is a reasoning that factors in everything like inference time, results examinability(XAI or SHAP) and not just what algorithm will be the most accurate on a dataset. )
very primary question in python
How would you benchmark an object detection model acting over a vide stream? For example, a model that is meant to detect alcohol consumption scenes in a video.
What is your birth date? What is your current salary
Difference between supervised and unsupervised machine learning
All interviewers asked about my projects. So i had to tell the exact same thing 5 times . It is such a waste of time. I am not sure what are they trying to assess . It seems like the hiring process is like a random coin toss. They didn't ask even a single question apart from my project. Also, to me it appears Microsoft has so many people who have been with the company for 15+years. May be there are really smart but they didn't appear to be energetic. My only advice would be not all teams are good at microsoft. Few teams i interiviewed in past had really smart and energetic people.
Talk about your previous project where you used machine learning.
What is F1 score? When do we prefer AUC over accuracy? What is the formula for Sigmoid function?
What are your motivations for applying?
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