TallGuyShorton Hacker News • Recommends
On “Not Even Scientists Can Easily Explain P-values”
This is an excellent talk I attended a while ago that explains it very well from a programmer's perspective: link to this video
0:00 / 0:00
#statistics#resampling#p-value
John Rauser keynote: "Statistics Without the Agonizing Pain" -- Strata + Hadoop 2014
O'Reilly
202K subscribers • 23 videos on Hallway
- Recommended by 3 people: 3 on Hacker News.
- A classic. People kept recommending it from 2015 to 2025.
- Presented by John Rauser
- May be out of date. Uploaded 12 years ago, in an area where tools change fast.
- An opinion. It argues one side of a question engineers disagree on.
Beginner. No background in the topic needed.
60K views12 years ago3 recommendations
Computer scienceAI and machine learningMath for programmersAlgorithms
John Rauser explains how programmers can build an intuitive understanding of statistics and p-values through simulation and resampling rather than formulas.
From the 2014 Strata Conference + Hadoop World in New York City. There are two essential skills for the data scientist: engineering and statistics. A great many data scientists are very strong engineers but feel like impostors when it comes to statistics. In this talk John will argue that the ability to program a computer gives you special access to the deepest and most fundamental ideas in statistics. John’s goal is to convince the non-statistician engineers in the audience that the road to statistical fluency is much, much shorter than they think. About John Rauser: John has been extracting value from large datasets for over 20 years at hedge funds, small data-driven startups, Amazon, and now Pinterest. He has deep experience in machine learning, data visualization, on-line experimentation, website performance and real-time fault analysis. An empiricist at heart, “Just do the experiment!” is his favorite call to arms. Watch more from Strata + Hadoop World 2014: goo.gl/UUfrR7 Find out more about the conference: strataconf.com/stratany2014 Don't miss an upload! Subscribe! goo.gl/szEauh Stay Connected to O'Reilly Media by Email - goo.gl/YZSWbO Follow O'Reilly Media: plus.google.com/+oreillymedia facebook.com/OReilly twitter.com/OReillyMediaWhy it's here
3 people recommend thisWhat people say. Highly recommended for programmers seeking an intuitive, code-first introduction to statistics and hypothesis testing without complex formulas.
jrauseron Hacker News • Recommends
On “Twitter’s new R package for anomaly detection”
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: link to this video
armanboyacion Hacker News • Recommends
On “Statistical Formulas for Programmers (2013)”
>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 link to this video
harveywion Hacker News • Mentions
On “Statistics for Hackers [video]”
Similar in spirit to John Rauser's 2014 Strata Conference + Hadoop World keynote "Statistics Without the Agonizing Pain" ( link to this video ).