Data Science Interview Questions

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1. FB has hired raters to rate ads. 80% are careful rates and rate 60% of the ads as good and 40% as bad, 20% are lazy raters and rate 100% ads as good. What is the probability that an ad is rated good? Given that 3 ads have been rated as good, what is the probability that they were rated by a lazy rater? Given that n ads have been rated as good, what is the probability that they were rated by a lazy rater? You want to classify raters as careful/lazy, how would you do that using all the probabilities and ideas discussed above (open ended question)?
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Data Scientist

Interviewed at Meta

3.5
Jan 28, 2019

1. FB has hired raters to rate ads. 80% are careful rates and rate 60% of the ads as good and 40% as bad, 20% are lazy raters and rate 100% ads as good. What is the probability that an ad is rated good? Given that 3 ads have been rated as good, what is the probability that they were rated by a lazy rater? Given that n ads have been rated as good, what is the probability that they were rated by a lazy rater? You want to classify raters as careful/lazy, how would you do that using all the probabilities and ideas discussed above (open ended question)?

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