@topepo@fosstodon.org Writing modeling packages at @posit_pbc (née @rstudio). Tweets are my own. Will probably ignore questions that belong on StackOverflow.
Krakoa
Joined February 2018
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@juliasilge and I are working on the print version of Tidy Modeling with R (tmwr.org/) for @OReillyMedia. We hope to have it in your hands year.
#rstats
The tidymodels group has an #rstats summer internship position this year.
The focus is on feature selection tools. All of the information is in the blog post below.
We look forward to seeing your applications!
tidyverse.org/blog/2025/01/t…
The video for my #PositConf2024 talk about evaluating censored regression #rstats models is at:
youtu.be/cm34R5aYUQ4?si=3VPG…
Here is a list of all of the talks: posit.co/blog/talks-and-work…
Max Kuhn retweeted
🌽 new package 🌽
{maize} is a specialty kernel binding for {parsnip}. This extension implements five additional kernels for support vector machines 🌽
If you are already familiar with the tidymodels framework, check out this experiment on my github 🌽
#rstats
Max Kuhn retweeted
📚 Libro online sobre Aprendizaje automático aplicado a datos tabulares en #rstats
by @topepos & Kjell Johnson
aml4td.org/
#ML #machinelearning #book #stats #analytics #datascientist #AI
For model calibration (esp logistic reg), does anyone know of a statistical investigation of the properties of the resulting calibrated predictions (i.e. the probability distr)?
#statistics #rstats
Max Kuhn retweeted
tidymodels has long supported parallelizing model fits across CPU cores. The XGBoost and LightGBM engines have their own tools to parallelize model fits. Should tidymodels users should use tidymodels' implementation, the engines', or both?
simonpcouch.com/blog/2024-05…
Max Kuhn retweeted
🤩Join Max Kuhn (@topepos) on May 15 for his workshop "Machine Learning in R"! Then for his talk "SHINYLIVE IS SO EASY" during the New York R Conference on May 16 & 17!
🎟️Attend in-person or virtual! Details & tickets: rstats.ai/nyr
#rstats | #rstatsnyc
We are working on postprocessing tasks for tidymodels. This is new methodological ground; we’d like feedback on our ideas. We have a placeholder name for a data set and could use suggestions/feedback there (we like 🥔).
#rstats #MachineLearning
blog.aml4td.org/posts/data-u…
Max Kuhn retweeted
Only✌️WEEKS until all the fun starts! Reserve your spot for the 10th anniversary of NYR on May 16 & 17 w/ workshops on May 15!
Hear from @StatModeling,@datatransformr, @topepos, @hmason, @hadleywickham, @seanjtaylor & many more!
🎟️: rstats.ai/nyr
#rstats | #rstatsnyc
Max Kuhn retweeted
☝️MORE MONTH until we're celebrating the 10th anniversary of the NYR Conference on May 16-17 w/ workshops on May 15!
Hear from @hadleywickham, @hmason, @StatModeling, @topepos, @abbystat, @drob, @wesmckinn & many more!
🎟️Tix & Info: rstats.ai/nyr
#rstatsnyc | #rstats
Max Kuhn retweeted
As part of his work on WebR, @gwstagg and @_lionelhenry have done some great work to get flang to compile Fortran to WebAssembly. Read all about it here! gws.phd/posts/fortran_wasm/
And here it is running a neural network to classify numbers in real time, as they're being written.
Max Kuhn retweeted
Next week, I'm interviewing Dr. @hadleywickham — Chief Scientist at @posit_pbc (formerly RStudio), bestselling author, and creator of the "tidyverse" suite of essential R packages (incl. dplyr, ggplot2, tidyr).
Got questions for him?
In addition to the above, Hadley:
• Is adjunct professor of statistics at Stanford University, Rice University and The University of Auckland.
• Has written seminal books on R programming for O'Reilly, Springer and CRC Press, including the mega-bestselling "R for Data Science".
• Has received a number of prestigious awards for his invaluable contributions to statistical computing.
The full suite of tidyverse core packages consists of:
• ggplot2
• dplyr
• tidyr
• readr
• purrr
• tibble
• stringr
• forcats
The SuperDataScience Podcast is available on all major podcasting platforms and a video version is on YouTube. Hadley's episode will likely be #779 and be released on April 30th.
#superdatascience #datascience #rlanguage #statistics #ml #opensource
Max Kuhn retweeted
Many hospital systems use machine learning models to help allot limited care resources. A new article on #rstats tidymodels.org explores claims that these models may be discriminatory:
tidymodels.org/learn/work/fa…
Max Kuhn retweeted
A whole bunch of tidymodels releases just made it to #rstats CRAN!
One major addition is a set of tools for assessing model fairness, designed to help practitioners understand potential harms that could arise from a machine learning workflow.
Read more: tidyverse.org/blog/2024/03/t…
We recently moved the Applied Predictive Modeling blog to a new url: blog.aml4td.org/
The new url reflects the new book that Kjell Johnson and I are writing a new book. You can see the work in progress at aml4td.org
#rstats #DataScience #machinelearning
Max Kuhn retweeted
🙏 Thank you to @RConsortium for funding some of this work!
Check out our work in progress:
r-causal.org
You have a direct line into our prioritization process!
Every couple years, the #rstats tidymodels team puts out a user survey to help us better prioritize what we'll work on next. The results of this survey led to the {agua}, {stacks}, and {spatialsample} pkgs, among others. Our newest survey is up--take it!
tidyverse.org/blog/2024/02/t…
A new version of the #rstats probably package is on CRAN. A minor update with a bug fix and under-the-hood changes for the upcoming tune version.
But there’s finally a hex logo (thanks to @theotheredgar) so we have that going for us. Which is nice.
probably.tidymodels.org/
