If you are looking for a place to monitor expert forecasts for United States weekly and cumulative COVID-19 deaths, you can’t do any better than the Reich Lab (University of Massachusetts) COVID-19 Forecast Hub. The same is true for data scientists who may be seeking to publish their own forecasts and compare them with the work of their peers.
The R community offers so many opportunities to get feedback, advice, and information from a wide variety of users. Early on in the book development, we had a lot of questions to nail down. We listened to the stories of many data scientists who work in education, then found common experiences we could describe in our writing.
This post shows how to configure code that allows the use of standard reusable C++ in an R package, without having to modify it with any R or Rcpp-specific syntax.
Here are my picks for the Top 40 new packages selected from the two hundred ninety new packages that made it to CRAN in June.
In the this second post, we conclude our exercise of builiing a neural net from scratch. We implement backpropagation, make predictions, test the accuracy of the model using various performance metrics, and compare our neural net with a logistic regression model.
In this Two-part series, we will build a shallow neural net from scratch and see how it compares with a logistic regression model. In this first part, we present the dataset we are going to use, the pre-processing involved, the train-test split, and describe in detail the architecture of the model.
This post examines design considerations in integrating standard and portable C++ code in an R package, using Rcpp in the interface level alone.
This is the first in a series of post looking at the best practice of writing Rcpp applications that keep both reusable and standard C++ code separate from the R interface.
In earlier posts, we shared how we wrote our book Data Science in Education Using R as an open book. In this post, we describe what we consider to be the open-source authorship.
One hundred eighty-four new packages stuck to CRAN in May. This post lists my Top 40 picks in eleven categories.