What are the differences between data science, machine learning, and artificial intelligence?
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A test has a true positive rate of 100% and false positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?
What are you employed pip?
Why are generators used in Python?
Why we need ggplot?
Do gradient descent methods always converge to same point?
Can you define convex hull?
Explain the method to collect and analyze data to use social media to predict the weather condition?
What is collaborative filtering in data science?
Define data discretization?
If we added one rider to the current SF market, how would that affect the existing riders and drivers?
Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.
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.
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