Good interview resource for prob/stats styled coding question?

New
pvalue

New

pvalue
Oct 20, 2018 9 Comments

I'm applying for ML positions, anything between ML engineer to Data Scientist. Their fucking questions are all over the place.

So far I've encountered 3 major question types
1) Traditional coding. I'm using leetcode for this.
2) Traditional probability & stats. I read up on A/B testing and use quant books for this.

3) Coding with probability and stats - this is the toughest one. Questions are like:
- Given uniform random number generator how do you get a gaussian random number generator
- Given random(1,6) function, make a random(1,n) function

Does anyone know of good prep material for these type of questions that are not pure coding and not pure stats/prob?

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TOP 9 Comments
  • Juniper
    bokehs

    Go to company page Juniper

    bokehs
    Where did you interview?
    Oct 20, 2018 6
    • Juniper
      bokehs

      Go to company page Juniper

      bokehs
      The first question tests your knowledge on the equation for normal distribution and the second question looks like just a generic transformations application. So, I guess they were testing for knowledge on distributions and transformations. Schaum’s probability handbooks should do. Also may I know your experience and background?
      Oct 20, 2018
    • New
      pvalue

      New

      pvalue
      OP
      I don't have a stats/probability background. Last course I took was back in high school.
      Oct 20, 2018
  • Axtria
    nyc!

    Go to company page Axtria

    nyc!
    Where did you study (2) from?
    Oct 20, 2018 0
  • New
    PcNF27

    New

    PcNF27
    I would say just keep revising basic stats and try to implement some of the algorithms yourself. See what are the common stats concepts in most of the algorithms and try to implement them. The companies that ask you such specific questions probably want someone who has spent the last 5 years doing exactly what they need and don’t want to try to teach you.
    Oct 20, 2018 0