Category: R Books
One often hears that R can not be fast (false), or more correctly that for fast code in R you may have to consider “vectorizing.” A lot of knowledgable R...continue reading.
A. Introduction The growth of Crossfit has been one of the biggest developments in the fitness industry over the past decade. Promoted as both a physical exercise philosophy and also as...continue reading.
I will be pushing a new version of futile.logger (version 1.5) to CRAN in January. This version introduces a number …Continue reading →continue reading.
Searching for Speed Everyone who has ever used R has, at one time or another, wished for an increase in R’s speed. If you haven’t, you’re not using R hard...continue reading.
The first time we at STATWORX are organizing a workshop for anyone who wants to learn more about data and graphics. Our “Data Visualization in R and ggplot2” workshop is...continue reading.
Building a scaleable Deep Learning Serving Environment for Keras models using NVIDIA TensorRT Server and Google Cloud
In a recent project at STATWORX, my team and I developed a large scale deep learning application for image classification using Keras and Tensorflow. After developing the model, we needed...continue reading.
You can file this one under “I may have the very specific solution if you’re having exactly the same problem.” So: if you’re running some R code and you see...continue reading.