Do gradient descent methods always converge to same point?
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How will inspect missing data and when are they important for your analysis?
From a long sorted list and a short 4 element sorted list, which algorithm will you use to search the long sorted list for 4 elements.
What is the importance of having a selection bias?
Define naive bayes?
What is the difference between supervised learning an unsupervised learning?
How can you check if a data set or time series is random?
What are you employed pip?
How can you compute an inverse matrix faster by playing with some computation tricks?
Explain root cause analysis?
Explain difference between binomial and Poisson distribution?
What is the job of analytics?
Name some kinds of graphs and explain how you would build them in python or r.
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