Visual representations of data inform how machine learning practitioners think, understand, and decide. Before charts are ever used for outward communication about a ML system, they are used by the system designers and operators themselves as a tool …
The pharmaceutical industry has witnessed a growing interest in open source languages such as R and Python as an alternative to SAS for many activities related to clinical research. Hop on board for a whistle-stop tour of our efforts within GSK …
A four-hour workshop that will take you on a tour of how to get from data to manuscript using R Markdown. You'll learn - The basics of Markdown and knitr- How to add tables for different outputs- Workflows for working with data- How to include and …
Shiny makes it easy to take domain logic from an existing R script and wrap some reactive logic around it to produce an interactive webpage where others can quickly explore different variables, parameter values, models/algorithms, etc. Although the …
We know that adopting documentation, testing, and version control mechanisms are important for creating a culture of reproducibility in data science. But once you've embraced some basic development best practices, what comes next? What does it take …
Even though a model prediction can be made, there are times when it should taken with some skepticism. For example, if a new data point is substantially different from the training set, its predicted value may be suspect. In chemistry, it is not …