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What interview questions do recruitment data analysts usually give?
1, the maximum amount of data you have processed? How did you deal with them? The result of processing.
2. Name two projects related to analysis or computer science? How do you measure the result?
3. What is the promotion value, key performance indicators, robustness, model fitting, experimental design, and 2/8 principle?
4. What are collaborative filtering, n-grams, map reduce and cosine distance?
5. How to make a web crawler faster, extract better information, better summarize data and get a clean database?
6. How to design a solution to plagiarism?
7. How to verify that a personal payment account is used by many people?
8. Should clickstream data be processed in real time? Why? Which part should be processed in real time?
9. Which do you think is better, good data or good model? Meanwhile, how do you define "good"? Is there a universal model for all situations? Don't you know that some models are not so well defined?
10, what is probability combination (also known as fuzzy fusion)? Is it convenient to use SQL processing or other languages? Which language would you choose to use to process semi-structured data?
How do you deal with the lack of data? What processing technology do you recommend?
12. What is your favorite programming language? Why?
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