每日一练 | Data Scientist & Business Analyst 面试题 136
从6月15日起，数据应用学院将与你一起温习数据科学（DS）和商业分析（BA）领域常见的面试问题。希望积极寻求相关领域工作的你每天关注我们的问题并且与我们一起思考，我们将会在第二天给出答案。
Day 36
DS Interview Questions
What are the benefits of dimensionality reduction tools like SVD?
BA Interview Questions
What will be the result of multiplying two vectors in R having different lengths?
欲知答案如何？请见下期分解！
Day 35 答案揭晓
DS Interview Questions
What is the difference between the normal soft margin SVM?
Hard-margin
This assumes that data is very well behaved, and you can find a perfect classifier - which will have 0 error on train data.
Soft-margin
Data is usually not well behaved, so SVM hard margin may not have solution at all. So we allow for a little bit of error on some points. So the training error will not be 0, but average error over all points is minimized.
BA Interview Questions
What is the procedure to check the cumulative frequency distribution of any categorical variable in R?
The cumulative frequency distribution of a categorical variable can be checked using the cumsum () function in R language.
Example –
gender = factor(c("f","m","m","f","m","f"))
y = table(gender)
cumsum(y)
Output of the above R code-
Cumsum(y)
f m
3 3
12
数据应用学院
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具备数据分析基础
具有一定BUSINESS INSIGHT
写作能力强
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