How white light is produced from LED.
Data Scientist Interviews
Data Scientist Interview Questions
In a data scientist interview, expect employers to ask questions that assess your data modeling, problem-solving, and programming skills. Be prepared to answer general questions that test your knowledge of statistics and data science. You should also be ready to answer open-ended questions that test your creativity, communication skills, and formal education in data modeling and programming.
Top Data Scientist Interview Questions & How to Answer
Question #1: Which data modeling techniques do you prefer and why?
Question #2: How would you detect bogus Instagram accounts used for scamming consumers?
Question #3: Describe circumstances that require a list, tuple, or set in Python.
54,212 data scientist interview questions shared by candidates
They asked questions on Bayes's theorem and other probability questions other than the coding questions.
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
Viewing 461 - 470 interview questions