Thomas Dinsmore's ML/DL blog recently concluded a look back on significant advancements in data science, machine learning and deep learning — many of which involved R and/or Microsoft. Here are those highlights (reproduced with permission): The R Project R and Python maintained their leadership as primary tools for open ... [Read more...]

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A while back I wrote this post about how I stay current in bioinformatics & genomics. That was nearly five years ago. A lot has changed since then. A few links are dead. Some of the blogs or Twitter accounts I mentioned have shifted focus or haven?... [Read more...]

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by Max Kuhn Introduction The formula interface to symbolically specify blocks of data is ubiquitous in R. It is commonly used to generate design matrices for modeling function (e.g. lm). In traditional linear model statistics, the design matrix is the two-dimensional representation of the predictor set where instances of ... [Read more...]

3-way Anova with R: how to find which factors influence a variable Y, analysing the difference between the group means defined by factors’ levels. A new chapter of Raccoon, a Quantide's free web book about Statistical Models with R. The post Raccoon | Ch 2.4 – 3-way Anova appeared first on Quantide - ... [Read more...]

Note, at the time of this writing using the packages ggplot2 and ggmap from CRAN will result in an error. To avoid the error be sure to install both packages from GitHub with the package devtools and restart R if the problem persists. devtools::install_github("dkahle/ggmap") devtools::install_... [Read more...]

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@drsimonj here to show you how to use pipelearner to easily grid-search hyperparameters for a model. pipelearner is a package for making machine learning piplines and is currently available to install from GitHub by running the following: # install.packages("devtools") # Run this if devtools isn't installed devtools::install_github("drsimonj/... [Read more...]

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