Random effects and penalized splines are the same thing
Weighted wiggles and smoothed categoriescontinue reading.
Weighted wiggles and smoothed categoriescontinue reading.
As The Riddler proposed for several weeks a CrossProduct™ puzzle when 3 x n one-digit integers have to be deduced from their rowwise and columnwise products, I attempted at writing...continue reading.
Deep Learning in R – MNIST Classifier with Keras In a day and age where everyone seems to know how to solve at least basic deep learning tasks with Python,...continue reading.
One of my favourite things about dplyr is that it decouples describing the data manipulation you want from its actual computation. This makes it possible to take basically the same...continue reading.
While having breakfast (after an early morn swim at the vintage La Butte aux Cailles pool, which let me in free!), I noticed a letter to the Editor in the...continue reading.
Two hundred thirty new packages made it to CRAN in January. Here are my “Top 40” selections in ten categories: Data, Finance, Genomics, Machine Learning, Medicine, Science, Statistics, Time Series,...continue reading.
This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from starting out with first modeling steps to tuning more complex models. Today’s screencast...continue reading.
Use tidy data principles to understand which kinds of occupations are most similar in terms of demographic characteristics.continue reading.
Chapter 5 of my course Empirical Economics with R covers instrumental variable (IV) estimation. While being one of the most popular methods in academic economic papers for estimating causal effects...continue reading.
Complete the Introduction to R Course for Free until March 7 To all of you who want to get started with data science and R we have a special offer!...continue reading.
In a previous blog post we discussed how improving interoperability between the multiple environments required by data scientists can improve productivity and ROI on IT investments. With the help of...continue reading.
Improving Interoperability through the RStudio Job Launcher In a previous blog post we discussed how improving interoperability between the multiple environments required by data scientists can improve productivity and ROI...continue reading.
In this tutorial, I’ll show you how to convert from Numpy array to list. Essentially, we’ll take a Numpy array and convert it to a Python list using the tolist()...continue reading.
Hello and welcome to this new issue! Release Date: 2021-02-22 How to have (my) content shared by R Weekly? This week’s release was curated by Eric Nantz, with help from...continue reading.
Appsilon at Hack4Environment Appsilon has recently taken part in the Hack4Environment – a 24-hour hackathon focusing on dealing with the critical problem of illegal waste disposal (known as fly-tipping). Read about our AI4Good...continue reading.
I’m currently working on a preprint on the spread of COVID-19 in Luxembourg. My hypothesis is that landlocked countries, especially ones like Luxembourg that have very close ties to their...continue reading.
Horrible puns aside, hopefully everyone saw the news, earlier this week, from @thomasp85 on the evolution of modern typographic capabilities in the R ecosystem. Thomas (and some cohorts) has been...continue reading.
Gradient Boosting with R Gradient boosting is one of the most effective techniques for building machine learning models. It is based on the idea of improving the weak learners (learners...continue reading.
Writing useless strings has been a focus of this series, and L-Systems (Lindenmayer Systems) are no different. It is a set or a string of characters that is rewritten on...continue reading.
Last month, we conducted our first survey on mlverse software, covering topics ranging from area of application through software usage to user wishes and suggestions. In addition, the survey asked...continue reading.