They asked questions on Bayes's theorem and other probability questions other than the coding questions.
Lead Data Scientist Interview Questions
21,733 lead data scientist interview questions shared by candidates
Do you think you can work in a team?
what are the commonly used activation functions in Neural Networks?
How can we rotate a matrix?
Assumptions of linear regression. Pros and cons of decision tree. Pros and cons of PCA.
Can not speak any thing on this.
First face to face round went OK. The interviewer asked about a matrix with dynamic programming algorithm and psuedo code for it. Also asked about explaining basics of technologies mentioned in the resume. I think I did justice with explaining what I knew, and from his expressions, I could not understand whether he was satisfied or not interested to listen :). No cross questions, not asking for details, just kept writing the feedback on his computer after asking. Second face to face round had two questions. One was algorithm for a tree traversal problem and proper code for it along with corner cases. Second question was a low level design problem.
Suppose you have n x_i real numbers. Find a such that the sum of (x_i-a)^2 is minimal.
lots of probability questions but they were not too hard
How much are you willing to pay to play the following game? You start with $1. You flip a fair coin. If it lands on heads, you double your winnings and flip again. If it lands on tails, the game is over and you collect the money you've won. You continue playing until you land on tails.
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