How do you overcome challenges to your findings?
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Describe some assumptions considered important for linear regression?
How can you produce co-relations and covariances?
How do data scientists use statistics?
What devices or tools help you most as a data scientist?
What is the travelling salesman problem?
Which technique will you use to compare the performance of two back-end engines that generate automatic friend recommendations on Facebook?
Can you write the formula to calculate r-square?
What is the difference between Linkedin and Array
What is the k-means clustering method?
What is random forests?
How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.
What do you do as a data scientist?
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