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John Rauser keynote: "Statistics Without the Agonizing Pain" -- Strata + Hadoop 2014
About this video
John Rauser's Strata 2014 keynote argues that programmers can learn statistics quickly by simulating random processes and shuffling data. He explains p-values through resampling rather than formulas.
Why it appears in the archive
HN recommends it as an excellent programmer-friendly explanation of p-values and statistical thinking.
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From the Hacker News discussion
This is an excellent talk I attended a while ago that explains it very well from a programmer's perspective: [VIDEO]
Read original comment ↗I have a talk in which I argue that if you can program, you have a huge advantage in learning statistics because you can simulate random processes and tinker with them to get an intuitive sense of the statistics involved. At Data Driven NYC: [LINK] Keynote at Strata+Hadoop World 2014: [VIDEO]
Read original comment ↗>Being able to apply statistics is like having a secret superpower. I totally with this sentence. BUT If you ask for my opinion, merely knowing a list of statistical formulas is not very helpful. Most of the time, people don’t remember the underlying assumptions, so there is a fair chance they will use them in inappropriate situations. I recommend watching these two YouTube videos. The presenters advocate using simulation/bootstrapping/shuffling methods instead of memorizing formulas. Jake Vanderplas - Statistics for Hackers [LINK] John Rauser - Statistics Without the Agonizing Pain [VIDEO]
Read original comment ↗Similar in spirit to John Rauser's 2014 Strata Conference + Hadoop World keynote "Statistics Without the Agonizing Pain" ( [VIDEO] ).
Read original comment ↗