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4 Intuitive methods for computational statistic
A great talk on different and very intuitive approach for applying statistical methods from a development approach. These are excellent way to get started or technique to have in your toolkit specially if you're working with data on a regular basis. There is definitely a lot of theory in all of these but Jake explanation on each of them with concrete example is fantastic, as well as its drawbacks which there are many.
Sampling
Shuffling
Bootstrap
Cross Validation
Note: One thing that I'd add is that there is a reason why these techniques make more sense for a developer mind, the roots of some of them can directly be trace to computer science contribution into computational statistic field!
Addictive podcast alert!
I have lately being incredibly addictive Learning Bayesian Statistic podcast from Alex Andorra! If you have interest in casual inference, machine learning, statistical learning and of course Bayesian inference is a 100% recommended. Everything from computational approach, real world problem solving, incredible guests it never gets boring!
