Monitor COVID-19 at the COVID-19 Forecast Hub

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.

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Party with R: How the Community Enabled Us to Write a Book

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.

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R Package Integration with Modern Reusable C++ Code Using Rcpp - Part 3

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.

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June 2020: "Top 40" New CRAN Packages

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.

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Building A Neural Net from Scratch Using R - Part 2

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.

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Building A Neural Net from Scratch Using R - Part 1

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.

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R Package Integration with Modern Reusable C++ Code Using Rcpp - Part 2

This post examines design considerations in integrating standard and portable C++ code in an R package, using Rcpp in the interface level alone.

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R Package Integration with Modern Reusable C++ Code Using Rcpp

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.

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Open-Source Authorship of Data Science in Education Using R

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.

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May 2020: "Top 40" New CRAN Packages

One hundred eighty-four new packages stuck to CRAN in May. This post lists my Top 40 picks in eleven categories.

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