Linked Questions

4
votes
2answers
2k views

Comparison of machine learning algorithms

Suppose that I have taken 8 machine learning algorithms which are used by researchers most frequently. I have applied these 8 machine learning algorithms over 8 datasets which are publicly available ...
2
votes
1answer
214 views

Standardizing data with categorical and quantitative data

I'm analyzing a data set as a final project. This is a categorical data analysis course so I will be focusing on a logistic regression analysis. I scrapped together the data set from flight data and ...
7
votes
5answers
10k views

Skills & coursework needed to be a data analyst

I am graduating with a bachelor's degree in applied math and I will pursue a master's degree in statistics this fall. There are many specialized fields in applied statistics. I realize I may be more ...
1
vote
3answers
165 views

What can I read to give me a meta-view of statistics as a field

What can I read that will give me a meta-view of the diverse field of statistics and data science? With few exceptions much of what I get my hands of goes straight into formulae and methodologies. ...
25
votes
4answers
526 views

Do you have a global vision on those analysis techniques?

I'm currently on a project where I basically need, like we all do, to understand how output $y$ is related to input $x$. The particularity here is that data $(y,x)$ is given to me one piece at a time, ...
15
votes
0answers
841 views

Practical thoughts on explanatory vs predictive modeling [duplicate]

Possible Duplicate: Practical thoughts on explanatory vs. predictive modeling This question has been bugging me for some time, and I was going to write a blog post about it. However, I think it ...
2
votes
2answers
369 views

What types of data analysis do not count as statistics?

When does data analysis cease to be statistics ? Are the following examples all applications of statistics ?: computer vision, face recognition, compressed sensing, lossy data compression, signal ...

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