What is pruning?
Data Scientist Trainee Interview Questions
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Asked about the working of KMeans Clustering
Product sense part 4 : (fraud case) How would you test the causality for the KPI you mentioned
[SQL] Given a table with logs of interactions with posts (share, like, comment, report), how many posts were marked as spam?
NDA SQL, Products, Experimentation
How to count unique elements in a column of a table?
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)?
How have you dealt with stressful situations on the job in the past?
Take home challenge - they focus on delivery time, rigor of solution and beating a given score. On site - was as described, took about 3 hours and at the end had to present the approach, results and answer questions related to them.
What function in R allows you to select rows>
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