The recent release of the blscrapeR package brings the “tidyverse” into the fold. Inspired by my recent collaboration with Kyle Walker on his excellent tidycensus package, blscrapeR has been optimized for use within the tidyverse as of the current ... [Read more...]

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Give me fuel, give me fire, reduced deprivation's my desire - First attempts with simple features The latest edition of the Scottish Index of Multiple Deprivation (SIMD) was released last year, and has been getting a bit more promotion recen... [Read more...]

Do you want to get your own simmer hexagon sticker? Just fill in this form and get one send to you for free. Check out r-simmer.org or CRAN for more information on simmer, a discrete-event simulation package for R. [Read more...]

I will be at the AI Summit in San Francisco next month, which means I can't make it to Ignite in Orlando this year. Which is a bit of a shame, because there's a fantastic Data Science track at Ignite. There are 25 sessions on offer, with presentations from my Microsoft ... [Read more...]

A/B Testing is a familiar task for many working in business analytics. Essentially, A/B Testing is a simple form of hypothesis testing with one control group and one treatment group. Classical frequentist methodology instructs the analyst to estimate the expected effect of the treatment, calculate the required sample ... [Read more...]

Background Sometimes we might want to compare three or four tube types for a particular analyte on a group of patients or we might want to see if a particular analyte is stable over time in aliqioted samples. In these experiments are essentially doing the multivariable analogue of the paired ... [Read more...]

Just before the summer holidays, BNOSAC presented a talk called Computer Vision and Image Recognition algorithms for R users at the UseR conference. In the talk 6 packages on Computer Vision with R were introduced in front of an audience of about 250 p... [Read more...]

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As data analysts, we all have tasks that we enjoy more than others. Some like the exploratory analysis steps, some like statistical computing, while others enjoy visualizing and communicating the results of their analyses. But we have yet to meet a data analyst that is passionate about data cleaning, even ... [Read more...]

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The last months, I have worked on brand logo detection in R with Keras. Starting with a model from scratch adding more data and using a pretrained model. The goal is to build a (deep) neural net that is able to identify brand logos in images. Just ... [Read more...]

As data analysts, we all have tasks that we enjoy more than others. Some like the exploratory analysis steps, some like statistical computing, while others enjoy visualizing and communicating the results of their analyses. But we have yet to meet a dat... [Read more...]

As data analysts, we all have tasks that we enjoy more than others. Some like the exploratory analysis steps, some like statistical computing, while others enjoy visualizing and communicating the results of their analyses. But we have yet to meet a dat... [Read more...]

The dropout approach developed by Hinton has been widely employed in deep learnings to prevent the deep neural network from overfitting, as shown in https://statcompute.wordpress.com/2017/01/02/dropout-regularization-in-deep-neural-networks. In the paper http://proceedings.mlr.press/v38/korlakaivinayak15.pdf, the dropout can also be used to address the overfitting in ... [Read more...]

In the previous post (https://statcompute.wordpress.com/2017/06/29/model-operational-loss-directly-with-tweedie-glm), it has been explained why we should consider modeling operational losses for non-material UoMs directly with Tweedie models. However, for material UoMs with significant losses, it is still beneficial to model the frequency and the severity separately. In the prevailing modeling ... [Read more...]

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On the heels of the very recent bi-monthly RcppArmadillo release comes a quick bug-fix release 0.7.960.1.1 which just got onto CRAN (and I will ship a build to Debian in a moment). There were three distinct issues I addressed in three quick pull req... [Read more...]