You have 52 playing cards (26 red, 26 black). You draw cards one by one. A red card pays you a dollar. A black one fines you a dollar. You can stop any time you want. Cards are not returned to the deck after being drawn. What is the expected payoff following this optimal rule? for this, u need to find what is the optimal stopping rule in terms of maximizing expected payoff.
Can you describe a machine learning project you have worked on and the impact it had?
I was asked questions that allowed me demonstrate my style, knowledge, skills and my personality. These were focused on the areas that were a priority for the role as well as questions based on future requirements of the role.
Describe your experience with this organization.
What kind of machine learning frameworks you are use to
What are the algorithms you have worked on and based on the answer, they will ask you in detail.
Name a feature selection method. Describe how it works
If a child dropped something on the floor how would you react.
Tell me about a project you've done
4 Rounds. 1st 60min. - Basic problem solving over phone. 2nd 60 min - Live Coding. ( Matrix related question) 3rd 60 min - Live Coding & System Design. 4th 70 min - Real time problem and System design.
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