How regularly must an algorithm be updated?
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Which technique is used to predict categorical responses?
How will you compare the results of various machine learning algorithms?
How do you build a custom function in python or r?
What are the variants of back propagation?
How have you overcome a barrier to finding a solution?
What does a data scientist do?
What is data science with example?
Define a/b testing?
What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.
Explain while working on a data set, how do you select important variables?
What is the degree of freedom for lasso?
Which technique will you use to compare the performance of two back-end engines that generate automatic friend recommendations on Facebook?