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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

1. R coding. Waral 鍗氬鏈夋洿澶氭枃绔,
    Given a dataset, generate frequency tables for all categorical variables, get means and variances for all continuous variables. more info on 1point3acres.com
    As few lines as possible
2. Probability 鏉ユ簮涓浜.涓夊垎鍦拌鍧.
    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
. 鐗涗汉浜戦泦,涓浜╀笁鍒嗗湴

大家讨论一下第四题应该怎么回答比较好  

本帖被以下淘专辑推荐:

chuendes 发表于 2015-3-20 06:25:59 | 显示全部楼层
Q4:  Communicate with interviewer to get more information.

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
Q4: percentages of A's, B's, C's, D's and F's based on current weighted score?
.鏈枃鍘熷垱鑷1point3acres璁哄潧
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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