We are conducting another survey to see where u...

While I'm still supporting caret, the majority of my development effort has gone into the tidyverse modeling packages (called tidymodels). If you've never heard of this, we have just made an excellent learning resources at tidymodels.org. You might consider focusing on the Get Started pages. Another item of note: ...

My slides from the R/Pharma conference on "Modeling in the Tidyverse" are in pdf format as well as the HTML version. (Joe Cheng just killed it in his shiny presentation - see this...

I'll be giving a talk at the R/Medicine conference on Sept 7th in New Haven CT. My talk is on modeling in the tidyverse but there are some excellent speakers. Rob Tibshirani, Mike...

Hugo Bowne-Anderson and I spoke about about data science in pharmaceuticals, the tidyverse, and more for the excellent DataFramed podcast from DataCamp. Listen to it here or throug...

Kjell and I are writing another book on predictive modeling, this time focused on all the things that you can do with predictors. It's about 60% done and we'd love to get feedback....

I'll be conducting a workshop called "Applied Machine Learning" in Washington DC on August 15 and 16. The last one, at the RStudio conference, sold out quickly. The 2 day course i...

(No statistical graphs in this one. This is what my dog Artemis looks like when she wants my attention during work hours.) Mindy L. Mallory (@ace_prof) wrote a blog post on Machine...

We've released our videos of the talks at the 2018 RStudio conference. My talk was Modeling in the Tidyverse (video) and I was also in the Tidyverse fireside chat (video). There ar...

caret has been able to utilize parallel processing for some time (before it was on CRAN in October 2007) using slightly different versions of the package. Around September of 2011, caret started using the foreach package was used to "harmonize" the par...

I've sent a slew of packages to CRAN recently (thanks to Swetlana and Uwe). There are updates to: caret was primarily updated to deal ...

It can be found on the RStudio cheatsheet page. Suggestions and pull requests are always welcome.

A typical scheme for splitting the data when developing a predictive model is to create an initial split of the data into a training and test set. If resampling is used, it is executed on the training set where a series of binary splits is created. In rsample, we use ...

One criticism that is often leveled against using resampling methods (such as cross-validation) to measure model performance is that there is no correlation between the CV results and the true error rate. Let's look at this with some simulated data. W...

I've joined Hadley's team at RStudio. Unsurprisingly, I’ll be working on some modeling related R packages ...

I'll be in the UK next week doing three talks in three days: First, I'll be giving a talk at the London R-Ladies meetup on Monday October 3rd with perhaps the best title yet: Whose Scat Is That? An 'Easil...

Zachary Deane-Mayer, who collaborates on caret, has put together a DataCamp course on Machine Learning in R. Zach and DataCamp did a great job of developing a course that is just right for people who are ...

I'll be giving a talk on Boston R user Group on Thursday March 10th at 6:00 PM. The talk will be on rule-based regression models. The image above is the training/test set split for the data that I...