It isn't a hack to present mathematics in an understandable way - it's a pedagogical improvement for introductory works, not a "hack".
It isn't a hack to present mathematics in an understandable way - it's a pedagogical improvement for introductory works, not a "hack".
This method of presentation makes sense to me. Most statistics classes that I've experienced were taught from the point of view of abstract math. That's certainly one way to do it, but I knew a lot of people for whom that wasn't the optimal presentation strategy. Now that computing is cheap and there is a large audience of people with programming knowledge, I think that teaching statistics through examples of simulation, bootstrapping shuffling and cross validation is a great way to learn things.
Plus, doesn't every hacker start as a script kiddie? Using something others came up with usually sparks the imagination. The next step is usually using the scripts right, followed by using the scripts extensively and finding issues, followed by making your own scripts (or improving the existing ones) to avoid these issues.
This looks pretty hackish to me.
Any idiot can run a simulation, or compute "something". "Something" is only useful in context.
"If you can write a for loop, you can do statistics!" Ugh. Can nobody read anymore? It has to be a "slide deck"?
Jesus, pick up a book and ask some goddamn questions if you're interested.
In those cases, finding a programmatic hack around it is a very good approach for giving you reasonable results in a shorter timeframe.
Calm down.
http://www.meetup.com/Multithreaded-Data/events/225205209/
I think you're taking things a bit too far here.
I've seen many, many data scientists from startups write blog posts with skewed data without using such techniques and failing to identify the potential statistical problems.
Machine Learning for Hackers http://www.amazon.co.uk/Machine-Learning-Hackers-Drew-Conway...
Design for Hackers http://www.amazon.co.uk/Design-Hackers-Reverse-Engineering-B...
Bayesian Methods for Hackers http://www.amazon.co.uk/Bayesian-Methods-Hackers-Probabilist...
EDIT: I'm not the author, but you can find Bayesian Methods for Hackers (free, released by the author) at the link below. I think it's a great resource for anyone wanting to explore Bayesian methods using Python.
https://github.com/CamDavidsonPilon/Probabilistic-Programmin...
[1]: Where poets is a possibly inaccurate metonym for "less mathematically sophisticated students"