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Questions came from three categories. 1) Coding of simple data-structure realted questions. 2) SQL questions 3) Statistics/ probability theory questions (these where somewhat to verify basic intuition of these fields rather seeking written formal answers)
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Data Science

Interviewed at Google

4.4★
Dec 15, 2024

Questions came from three categories. 1) Coding of simple data-structure realted questions. 2) SQL questions 3) Statistics/ probability theory questions (these where somewhat to verify basic intuition of these fields rather seeking written formal answers)

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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Data Scientist

Interviewed at Uber

3.7★
Apr 8, 2015

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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