There is a pool of people who took Uber rides from two cities that were close in proximity, for example Menlo Park and Palo Alto, and any data you could think of could be collected. What data would you collect so that the city the passenger took a ride from could be determined? If some type of supervised classification algorithm was used to split the two populations, for example Support Vector Machine, what type of business decision would you make on points that appear close to the hyperplane?
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You have 2 groups of people and are testing 2 drugs. How would you design and experiment to test the effectiveness of both drug?
Case Study: Choose any Google product. Now, 1) As a fraudster, why would you need to use the API of this product 2) As a member of the Google team, how will you ensure that these fraudsters don't take advantage of the product 3) As a fraudster how would you overcome the steps you took in part 2 mentioned above
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SE of sample mean & SE of sample median Write a function to return elements from the Fibonnaci sequence & analyze its computational complexity.
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Basic probability question. Find probability of two cars meeting given certain conditions
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