R-bloggers

Explainable 'AI' with Gradient Boosted randomized networks.

Explainable 'AI' with Gradient Boosted randomized networks.

Explainable 'AI' with Gradient Boosted randomized networks.

I recently created a visualization of the distribution of river flow directions and also of coastal orientations. Following its publication in social networks (here), I was asked to make a post about how I did it. Well, here we go to start with an example of rivers, coastal orientation is ...

Today, Emil Hvitfeldt and I led a useR! 2020 online tutorial on predictive modeling with text using tidy data principles. This tutorial was hosted by R-Ladies en Argentina; huge thanks to the organizers for their leadership and effort in making this tutorial possible. Materials for this tutorial are available on GitHub, ...

Our last few posts on portfolio construction have simulated various weighting schemes to create a range of possible portfolios. We’ve then chosen portfolios whose average weights yield the type of risk and return we’d like to achieve. However, we’ve noted there is more to portfolio construction than ...

Akshaj is a budding deep learning researcher who loves to work with R. He has worked as a Research Associate at the Indian Institute of Science and as a Data Scientist at KPMG India. In the previous post, we went through the dataset, the pre-processing involved, train-test split, and talked ...

Join Appsilon and RStudio for a joint webinar – Enabling Remote Data Science Teams – on July 28th @ 11AM EST. We will cover version control, scaling R Shiny, growing a remote data science team, and more. You can register here. How to Set Up a Distributed Data Science Team Setting up a ...

Thurs, August 13th, 9am PDT/12pm EDT/18:00 CEST – Register now! Hosted by the COVID-19 Data Forum/Stanford Data Science Initiative/R ConsortiumCOVID-19 is the first pandemic to occur in the age of... The post Beyond Case Counts: Making COVID-19 Clinical Data Available and Useful appeared first on R Consortium.

The R community is a diverse and inclusive group. About a month ago (June 2020) GitHub announced it would start to remove references to ‘master’ across its sites and I’m surprised the R community hasn’t jumped on the opportunity t...

Note: Thank you to Andrew Collier for looking this blog post over!! Alot of individuals think that to use R or a programming language at work you need to be a software engineer, data analyst, data scientist etc. This can be discouraging to some who don’t work in this ...

In this topic, we will discuss Unsupervised Learning, or as we talked about last time, the situation where you are looking for groups in your data when your data don’t come with a group variable. I.e. sometimes you want to find groups of similar observations, and you need ...

This example shows how to calculate an index of income segregation for Bexar County, TX using data from the 2018 American Community Survey Some measures of economic segregation are calculated by the Census bureau directly, in the American Community Survey, the Census provides the Gini Index of income inequality for many ...

Classification methods and models In classification methods, we are typically interested in using some observed characteristics of a case to predict a binary categorical outcome. This can be extended to a multi-category outcome, but the largest number of applications involve a 1/0 outcome. Below, we look at a few classic methods ...

CoI: Andrew sent me this new book [scheduled for 23 July on amazon] of his with Jennifer Hill and Aki Vehtari. Which I read in my garden over a few sunny morns. And as Andrew and Aki are good friends on mine, this review is definitely subjective and biased! Hence to ...

In this blog post, our colleague Lukas gives you a high-level introduction to RDS files (vs. RData files) and serialization. The function checks whether there is already an RDS with the same name in the path, renames it if required, and provides it with a timestamp and a reference ARCHIVED_...