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John Mount
Works at Win-Vector LLC


John Mount

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Weird mushroom in the yard (shovel and gloves deal)

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There is a lot of current interest in various “crypto currencies” such as Bitcoin, but that does not mean there have not been previous combined ledger and token recording systems. Other…
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As Yuval Noah Harari pointed out, Osama bin Laden hated everything about the US, but he was happy to take US money, because he knew that pretty much anyone would sell him things for it. The viability of a currency largely rests on how many people believe in it.

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by Nina Zumel Principal Consultant Win-Vector LLC We've just finished off a series of articles on some recent research results applying differential privacy to improve machine learning. Some of these results are pretty technical, so we thought it was worth working through concrete examples. And some of the original results are locked behind academic journal paywalls, so we've tried to touch on the highlights of the papers, and to play around with...

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Trying to get a more approachable "needs based" description of our company (Win-Vector LLC) together: 
Principal Consultant, Win-Vector LLC
  • Win-Vector LLC
    Principal Consultant, present
I produce applied research, prototyping and training in information extraction, algorithms and data-mining for web-scale businesses, hedge funds and start ups. Right now I do this as a consultant at Win-Vector LLC. 

Please check out our book Practical Data Science with R

Also check out the Win-Vector LLC blog our Twitter feed .
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A Simpler Explanation of Differential Privacy | | All Abo...

(This article was originally published at Win-Vector Blog » Statistics, and syndicated at StatsBlogs.) Differential privacy was originally d

A dynamic programming solution to A/B test design | | All...

(This article was originally published at Win-Vector Blog » Statistics, and syndicated at StatsBlogs.) Our last article on A/B testing descr

Estimating Generalization Error with the PRESS statistic

As we’ve mentioned on previous occasions, one of the defining characteristics of data science is the emphasis on the availability of “large”

Factors are not first-class citizens in R

The primary user-facing data types in the R statistical computing environment behave as vectors. That is: one dimensional arrays of scalar v

Frequentist inference only seems easy

Two of the most common methods of statistical inference are frequentism and Bayesianism (see Bayesian and Frequentist Approaches: Ask the Ri

R style tip: prefer functions that return data frames

While following up on Nina Zumel’s excellent Trimming the Fat from glm() Models in R I got to thinking about code style in R. And I realized

Trimming the Fat from glm() Models in R

One of the attractive aspects of logistic regression models (and linear models in general) is their compactness: the size of the model grows

Save 45% on Practical Data Science with R (expires May 21, 2013)

Please share this generous deal from Manning publications: save 45% on Practical Data Science with R through May 21, 2014. Please tweet, for

R has some sharp corners

R is definitely our first choice go-to analysis system. In our opinion you really shouldn’t use something else until you have an articulated

Some R Resources for GLMs

by Joseph Rickert Generalized Linear Models have become part of the fabric of modern statistics, and logistic regression, at least, is a “go

You don’t need to understand pointers to program using R

R is a statistical analysis package based on writing short scripts or programs (versus being based on GUIs like spreadsheets or directed wor

Oldies but Goldies: Statistical Graphics Books

I just wanted to plug for three classical books on statistical graphics that I really enjoyed reading. The books are old (that is, older tha

I can haz buzzwords?

Catty title aside, this post takes a good swing at defining terms we hear thrown around about data these days and they mostly do a good job.

Practical Data Science with R October 2013 update

A quick status update on our upcoming book “Practical Data Science with R” by Nina Zumel and John Mount. We are really happy with how the bo

[Book] Practical Data Science with R

Nina Zumel and John Mount have been working very hard on producing an exciting new book called “Practical Data Science with R.” The book has

Prefer = for assignment in R

We share our opinion that = should be preferred to the more standard <- for assignment in R. This is from a draft of the appendix of our upc

Win-Vector Blog » How to outrun a crashing alien spaceship

Hollywood movies are obsessed with outrunning explosions and outrunning crashing alien spaceships. For explosions the movies give the optima