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QA @ Google

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yuuw 发表于 2015-3-20 05:08:08 | 显示全部楼层 |阅读模式

2015(1-3月) 分析|数据科学类 博士 全职@Google - 内推 - 技术电面 |Fail

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G家 QA, failed
. From 1point 3acres bbs
1. R coding
    Given a dataset, generate frequency tables for all categorical variables, get means and variances for all continuous variables
    As few lines as possible
2. Probability
.鏈枃鍘熷垱鑷1point3acres璁哄潧    A guy randomly picks an integer K from 1 - 100, then he tossed a fair coin for K times, he wins if he get exactly one head, what's the prob. that he wins
3. How to examine if a die is fair
    followup: how many times you need to throw the die
4. You are the TA in a class, a prospective student asks you how students performaned in the class, you have ten exam scores for each student
    Give ONLY one metric, support your claim

鏉ユ簮涓浜.涓夊垎鍦拌鍧. .1point3acres缃
大家讨论一下第四题应该怎么回答比较好  

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chuendes 发表于 2015-3-20 06:25:59 | 显示全部楼层
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Warald_一亩三分地
Q4:  Communicate with interviewer to get more information. 鏉ユ簮涓浜.涓夊垎鍦拌鍧.

Each of exams may have different mean and variation which implied the need of  rescaling or putting  different weights. Also the target is to rank for every student or to classify good, average, bad performance by setting a threshold or to determine  performance of the whole class. Median, central quantile, average, weight average, can also be discussed. You have 10 features, the response could be a numeric number or category.  Regression or classification will be based on that.
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guojunchimacmac 发表于 2015-10-19 05:26:55 | 显示全部楼层
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Warald
Q4: percentages of A's, B's, C's, D's and F's based on current weighted score?
. From 1point 3acres bbs
补充内容 (2015-10-19 05:34):
Sorry, did not see ONE metric... then the average grade based on the current weighted score.
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