### John Mount

Shared publicly -"The magrittr monad"

http://www.win-vector.com/blog/2016/08/the-magrittr-monad/

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John Mount

Works at Win-Vector LLC

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Very corner-case specialist article on functional programming in R:

"The magrittr monad"

http://www.win-vector.com/blog/2016/08/the-magrittr-monad/

"The magrittr monad"

http://www.win-vector.com/blog/2016/08/the-magrittr-monad/

Monads are a formal theory of composition where programmers get to invoke some very abstract mathematics (category theory) to argue the minutia of annotating, scheduling, sequencing operations, and…

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Latest Win-Vector LLC technical article:

"On accuracy"

http://www.win-vector.com/blog/2016/07/on-accuracy/ #DataScience #statistics #PredictiveAnalytics

"On accuracy"

http://www.win-vector.com/blog/2016/07/on-accuracy/ #DataScience #statistics #PredictiveAnalytics

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A budget of classifier evaluation measures

http://www.win-vector.com/blog/2016/07/a-budget-of-classifier-evaluation-measures/ #DataScience #statistics #PredictiveAnalytics

http://www.win-vector.com/blog/2016/07/a-budget-of-classifier-evaluation-measures/ #DataScience #statistics #PredictiveAnalytics

Beginning analysts and data scientists often ask: “how does one remember and master the seemingly endless number of classifier metrics?” My concrete advice is: Read Nina Zumel’s excellent series on…

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y-aware scaling in context

http://www.win-vector.com/blog/2016/06/y-aware-scaling-in-context/

http://www.win-vector.com/blog/2016/06/y-aware-scaling-in-context/

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Download Manning Publications new free e-book "Exploring Data Science" (John Mount, Nina Zumel, Manning 2016) for free chapter samples from current Manning #DataScience titles. Includes new introductions and special discount codes for the books excerpted! Topics cover: exploring data, time series, deep learning, text mining, and probabilistic programming. http://www.win-vector.com/blog/2016/06/free-e-book-exploring-data-science/

Download Manning Publications new free e-book "Exploring Data Science" (John Mount, Nina Zumel, Manning 2016) for free chapter samples from current Manning #DataScience titles. Includes new introductions and special discount codes for the books excerpted! Topics cover: exploring data, time series, deep learning, text mining, and probabilistic programming. http://www.win-vector.com/blog/2016/06/free-e-book-exploring-data-science/

We are pleased to announce a new free e-book from Manning Publications: Exploring Data Science. Exploring Data Science is a collection of five chapters hand picked by John Mount and Nina Zumel, int…

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Please share: New free e-book: Exploring Data Science http://www.win-vector.com/blog/2016/06/free-e-book-exploring-data-science/
#DataScience #BigData #MachineLearning

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Using geom_step (a #ggplot2 guide) http://www.win-vector.com/blog/2016/06/using-geom_step/ #R #Rlang #rstats #DataScience #finance

geom_step is an interesting geom supplied by the R package ggplot2. It is an appropriate rendering option for financial market data and we will show how and why to use it in this article.

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In his circles

135 people

Nina Zumel and I are proud to announce the simplified Chinese edition of Practical Data Science with R http://www.practicaldatascience.com

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Excited to announce vtreat version 0.5.26 released on CRAN. This is an update to our R package for data treatment and incorporates a number of powerful new features and a lot of new documentation. http://www.win-vector.com/blog/2016/07/vtreat-version-0-5-26-released-on-cran/

Win-Vector LLC, Nina Zumel and I are pleased to announce that ‘vtreat’ version 0.5.26 has been released on CRAN. ‘vtreat’ is a data.frame processor/conditioner that prepares…

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Another note on differential privacy

http://www.win-vector.com/blog/2016/06/another-note-on-differential-privacy/

http://www.win-vector.com/blog/2016/06/another-note-on-differential-privacy/

I want to recommend an excellent article on the recent claimed use of differential privacy to actually preserve user privacy: “A Few Thoughts on Cryptographic Engineering” by Matthew Gr…

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Why you should read Dr. Nina Zumel’s series on principal components analysis and regression

http://www.win-vector.com/blog/2016/06/why-you-should-read-nina-zumels-3-part-series-on-principal-components-analysis-and-regression/

http://www.win-vector.com/blog/2016/06/why-you-should-read-nina-zumels-3-part-series-on-principal-components-analysis-and-regression/

Short form: Win-Vector LLC’s Dr. Nina Zumel has a three part series on Principal Components Regression that we think is well worth your time. Part 1: the proper preparation of data (including…

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A demonstration of vtreat data preparation

http://www.win-vector.com/blog/2016/06/a-demonstration-of-vtreat-data-preparation/

http://www.win-vector.com/blog/2016/06/a-demonstration-of-vtreat-data-preparation/

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In his circles

135 people

Work

Occupation

Principal Consultant, Win-Vector LLC

Employment

- Win-Vector LLCPrincipal Consultant, present

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YouTube

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- Win Vector blog (current)

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Introduction

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 http://www.manning.com/zumel/ http://www.amazon.com/Practical-Data-Science-With-R/dp/1617291560

Also check out the Win-Vector LLC blog http://www.win-vector.com/blog/ our Twitter feed https://twitter.com/WinVectorLLC .

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John Mount's +1's are the things they like, agree with, or want to recommend.

A Simpler Explanation of Differential Privacy | StatsBlogs.com | All Abo... www.statsblogs.com (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 | StatsBlogs.com | All... www.statsblogs.com (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 www.r-bloggers.com 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 www.r-bloggers.com 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 www.r-bloggers.com Two of the most common methods of statistical inference are frequentism and Bayesianism (see Bayesian and Frequentist Approaches: Ask the Ri |

Book Review: Practical Data Science with R - Fliptop Predictive Analytics blog.fliptop.com Book Review: Practical Data Science with R |

R style tip: prefer functions that return data frames www.r-bloggers.com 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 www.r-bloggers.com 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) www.r-bloggers.com 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 www.r-bloggers.com 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 www.r-bloggers.com 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 www.r-bloggers.com 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 www.r-bloggers.com 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? biasedestimates.blogspot.com 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 www.r-bloggers.com 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 www.analyticbridge.com 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 www.r-bloggers.com 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 www.win-vector.com Hollywood movies are obsessed with outrunning explosions and outrunning crashing alien spaceships. For explosions the movies give the optima |