Snapchat数据相关面试真题

6.学生数据

7.线性回归合并feature

8.Lasso

9.用户数据

10.Metric change

11.广告效果证明

12.where和having的区别

13.RDBS不适用的例子

14.Locking

15.优化query

16.Amicable pairs

17.sklearn运用

18.Frog Jump

19.sklearn运用

20.What is P-value?

21.解释置信区间

22.T/Z 区别

23.质数

24.friend数据

25.广告收益

26.相关特征

27.回归数据处理

28.广告

29.照片质量

30.Bug 测试

31.Median

32.新广告体制的优劣判断

33.Recommend user groups

34.Aggregation function with group by

35.Window function

36.Discuss an ML Project

37.Treatment Effects Calculation

38.Calculating Causal Effects

39.SQL Data Management

40.Causal Inference

41.SQL Live Coding: Handling Incomprehensive Users Data

42.SQL Live Coding: Non-Spam Request Percentage

43.SQL Live Coding: Same-Day Acceptance Rate

44.Bayesian Statistics Problem

45.Database Selection: SQL vs NoSQL

46.Currency Conversion Coding Problem

47.SQL Query for Metrics Calculation

48.Statistical Questions

49.Log File User Word Frequency

50.SQL Query for Common Friends

51.Probability Questions

52.Details of A/B Testing

53.ML Fundamentals

54.Solve four SQL queries without using window functions.

55.Probability Question: What is the probability of drawing a hand with 1 Heart and 2 Tails from three cards?

56.What is a P value?

57.Discuss your experience with A/B testing.