Introduction:We will identify anomalous products on the production line by using measurements from testing stations and deep learning models. Anomalous products are not failures, these anomalies are products close to the measurement limits, so we can display warnings before the process starts to make failed products and in this way the stations get maintenance. Before starting we need the next...
With all of the excitement surrounding cdata style control table based data transforms (the cdata ideas being named as the “replacements” for tidyr‘s current methodology, by the tidyr authors...
In the last few weeks we’ve seen a great deal of controversy in Brazil regarding financial investments. Too keep it short, Empiricus, an ad-based company that massively sells online...
A new RcppArmadillo release based on a new Armadillo upstream release arrived on CRAN and Debian today. Armadillo is a powerful and expressive C++ template library for linear algebra aiming...
After my recent post on Anscombe's Quartet in which I demonstrated how to efficiently adjust any data set to match mean, variance, correlation (x,y), as well as regression coefficients....
We recently saw this UX (user experience) question from the tidyr author as he adapts tidyr to cdata techniques. The terminology that he is not adopting from cdata is...
The post Decode Lyrics in Pop Music: Visualise Prose with the Songsim algorithm appeared first on The Lucid Manager. The lyrics of songs are more and more repetitive. Wihin this...
The data from the 2018 wave of the General Social Survey was released during the week, leading to a flurry of graphs showing various trends. The GSS is one...
So now that I live in Melbourne, to blend in with the locals I need to at least vaguely follow the AFL (Australian Football League). For instance, my work...
Doing human face detection with computer vision is probably something you do once unless you work for police departments, you work in the surveillance industry or for the Chinese...
Our latest tool development at STATWORX: random boost, an algorithm twice as fast as gradient boosting, with comparable prediction performance. Der Beitrag How to Speed Up Gradient Boosting by...
When this blog moved from bioinformatics to data science I ran a Twitter poll to ask whether I should start afresh at a new site or continue here. “Continue...
RStudio Connect 1.7.2 is ready to download, and this release contains some long-awaited functionality that we are excited to share. Several authentication and user-management tooling improvements have been added, including the...
This spring, I’ll be giving talks at a couple of Meetups and conferences: March, 26th: At the data lounge Bremen, I’ll be talking about Explainable Machine Learning April, 11th: At the...
Roland Stevenson is a data scientist and consultant who may be reached on Linkedin. When accessing an API or database in R, it is often necessary to provide credentials such...
Our lab is international. People born all over the world have come to work in my group. I’m proud of this fact, especially in the current political climate. I’ve...
There’s a lot going on in the development version of {tidyr}. New functions for pivoting data frames, pivot_wide() and pivot_long() are coming, and will replace the current functions, spread() and gather()....
In my previous post, I discussed Gartner's reviews of data science software companies. In this post, I show Forrester's coverage and discuss how radically different it is. As usual,...
Francis Anscombe's seminal paper on "Graphs in Statistical" analysis (American Statistician, 1973) effectively makes the case that looking at summary statistics of data is insufficient to identify the...
Labelling data is typically a task for end-users and is applied in own scripts or functions rather than in packages. However, sometimes it can be useful for both end-users...
From https://twitter.com/sharon000/status/1107771331012108288: From https://tidyr.tidyverse.org/dev/articles/pivot.html: There are two important new features inspired by other R packages that have been advancing of reshaping in R: The reshaping operation can be specified...
As promised in the post Learning Data Science: Modelling Basics we will now go a step further and try to predict income brackets with real world data and different...
There’s been alot of talk about “dependencies” in the R universe of late. This is not really a post about that but more of a “really, don’t do this”...
Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Skipper Seabold, a Director of Data Science at Civis Analytics. Introducing Skipper Seabold Hugo: ...
RStudio have recently announced ‘RStudio Connect QuickStart’ which is a VM containing a full suite of RStudio’s pro tools, available to be trialled for a 45 day period. RStudio...
Opening the black-box in complex models: SHAP values. What are they and how to draw conclusions from them? With R code example!
We recently commented on excess package dependencies as representing risk in the R package ecosystem. The question remains: how much risk? Is low dependency a mere talisman, or is...
CategoriesGetting Data Tags Data Management Plot R Programming Since the initial publication of the Three Factor Model by Eugene Fama and Kenneth French in their influential 1993 paper (Common Risk Factors in the Returns...
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