Shannon's slides are always so unbelievably clear and helpful!!! github.com/shannonpileg... I'm having "Ohhhhh that's what that means" moments every 10 seconds here. #positconf2025

I'm all in on @topepo.bsky.social and co's new {important} and other variable importance/feature selection tools in tidymodels! #rstats

Once again, @davisvaughan.bsky.social's extrachecks have saved me from a likely CRAN rejection for an upcoming #RStats package submission. Thanks Davis! github.com/DavisVaughan...

Simon Wood, the GOAT of generalized additive models & creator of the mgcv #rstats package, has an Annual Review of Statistics essay on GAMs, available open access #statssky #mlsky www.annualreviews.org/content/jour...

ML success ≠ Kaggle leaderboard. The real world rewards: - Clear explanations - Thoughtful metrics - Collaboration with domain experts A 0.01 lift in F1 score won’t save you if no one understands your model. #DataSciene #MachineLearning #AI #RStats

Announcing a new blog series on LLMs from @veerle.hypebright.nl! In Part 2, “Talking to LLMs: From Prompt to Response”, we get hands-on with LLM-powered apps. This guide is for #Python & #RStats users who want to go beyond the basics. Check it out here: shiny.posit.co/blog/posts/s...

Slides from my #rstats talk “Measuring LLM Effectiveness” at #dataconfAI with @simonpcouch.com. topepo.github.io/2025_NYR/ Video in about a month. Great conference!

🧠📊 3 days. 2 workshops. 20 talks. 1 amazing community. #dataconfAI is officially wrapped! Thanks for showing up with insights, ideas, inspiration, and curiosity. And to all who made it unforgettable—speakers, attendees, sponsors, and volunteers. See you at the next one! 🚀

In working on an eval for an experimental tidymodels AI assistant, I realized that today's frontier LLMs know much more about #rstats tidymodels than I thought. www.simonpcouch.com/blog/2025-08...

It's a lot of fun! Everyone gets something out of it. Plus, @davisvaughan.bsky.social always finds a great barista!

Start off The NY Data Science & AI Conference w/ hands-on workshops on Aug 25 in NYC or online: 📊 Machine Learning in R w/ Max Kuhn 🤖 Intro to LLMs/AI w/ Daniel Chen 🎟️ Learn more & register at dataconf.ai/nyc #RStats #AI #Workshops #databs @topepo.bsky.social @chendaniely.bsky.social

Excited to share my newest quarto revealjs plugin: imagemover Easily reposition and resize images directly in your quarto revealjs slides for a much smoother slidecrafting experience github.com/EmilHvitfeld... #quarto

Time to convert this into an LLM powered snippet using {chores} by @simonpcouch.com. #useR2025 #rstats

Welp, {chores} by @simonpcouch.com is an immediate install for sure. Basically it's {usethis} plus llm bundled into RStudio/Positron key encoding. Excited!!! 🧹🧺 #useR2025 #rstats #couchverse?

Don't miss out learning from the best, Max Kuhn! @topepo.bsky.social #dataBS #Tidymodels #MachineLearning

📊 Want to level up your R modeling skills? Max Kuhn’s Machine Learning in R workshop is an intro to tidymodels, covering data prep, resampling, tuning & evaluation using real workflows! 📍Aug 25 in NYC or online 🎟️ & info: dataconf.ai/nyc #RStats #Tidymodels #MachineLearning @topepo.bsky.social

We are super excited to have you join us for the day!

Positron is definitely visually more than RStudio, and this is a helpful overview.

The call for papers for LatinR 2025 (online) is now open! You can present in English, Spanish, or Portuguese 🗣️ #RStats latinr.org/en/blog/en/2...

We've released 4 new chapters of Applied Machine Learning for Tabular Data. Includes: Bayesian optimization, feature selection, model comparisons, classification metrics, calibration, #rstats computing sections, and more blog.aml4td.org/posts/2025-0...

A perfect URL does not exi... 😃 #rstats 🔗 rstats.wtf

Gotta catch 'em all! I want the Stacks Year of the Mango

Slides from yesterdays talk "Don't be dense, embracing sparsity in tidymodels" are live if you are interested! emilhvitfeldt.github.io/talk-slc-spa...

The NY Data Science & AI Conference kicks off w/ workshops on Aug 25! 🧠 Machine Learning in R w/ Max Kuhn (@topepo.bsky.social) 🤖 Intro to LLMs/AI w/ Daniel Chen Join us in NYC or online & level up before the main event! 🎟️ Tix & more info: dataconf.ai/nyc #DataScience #RStats #LLMs #AI #databs

We're happy to announce that there will be another #rstats Tidy Development Day after the 2025 posit::conf in Atlanta! www.tidyverse.org/blog/2025/07...

I used this for bundling up tidymodels docs, and it was really easy to use. It also made a huge difference in the LLM quality.

Announcing Orbital for Python! For Scikit-learn users, this tool transforms your ML pipelines into SQL queries, letting predictions run directly in your database without a #Python environment. Learn more: posit.co/blog/introdu...

Super exciting! Related news: we’re hooking up mirai to tidymodels too.

I really enjoyed attending and speaking at R/Medicine this year! I learned a lot. Huge thanks to the organisers! My talk "Bootstrap inference made easy" is now available online: www.youtube.com/watch?v=EeAt... #Rstats #Statsky

Ever wonder how the #tidyverse came to be? 🤔 #TheTestSet's first episode features @hadley.nz on his accidental empire of #RStats packages, bear encounters, and more! Stream it at thetestset.co, Spotify, or Apple Podcasts. #DataAnalytics #PodcastLaunch

vitals, an R package for LLM evaluation, is now on #rstats CRAN!🧸 Specifically aimed at folks building with ellmer, the package will help you engineer prompts, choose models, and measure cost/latency/performance rigorously. www.tidyverse.org/blog/2025/06...

I’m very pleased to announce that a preview of the 3rd Edition of Deep Learning with R is now available! mng.bz/X7xa The book is 50% off through July 8!

The future package turns ten today 🥳 To celebrate, I’ll start a blog series covering recent improvements that set us up for new, exciting ways for writing concurrent #RStats - neater than what our trusty workhorses future.apply & furrr offer www.jottr.org/2025/06/19/f... #parallel #futureverse

After two weeks, I'm finally done! In this post, I explain different approaches for solving linear regression in R: directly, using QR, singular value and Cholesky decompositions, and do some benchmarking for comparison with in-built approaches. thomvolker.github.io/blog/2506_re...

Data science junkies, get ready! 🚀 "The Test Set" #podcast trailer is here for your viewing pleasure. Tune in July 1st and every Tuesday after for new episodes with hosts @mchow.com, @hadley.nz, and @wesmckinney.com as they welcome thought leaders in #DataScience. Subscribe now: pos.it/thetestset

Happy Obama Appreciation Day 🇺🇸✨ On this day, we honor leadership grounded in hope, dignity, and class. President Barack Obama reminded us that intelligence, empathy, and calm strength belong in the White House. 💙🇺🇸 #HappyObamaAppreciationDay #NoKingDay

Being able to productionize a ML model is often the goal, however there are many things to keep track of when you do. The orbital package lets you translate your fitted scikit-learn or tidymodels model into SQL that that when run produces predictions. posit.co/blog/databri... #python #rstats

Introducing acquaint, an R package that turns your R sessions into a Model Context Protocol (MCP) server. This allows MCP-enabled tools like Claude Desktop and Claude Code to run #rstats code _in your active R sessions_ to explore objects, read documentation, etc. posit-dev.github.io/acquaint/

New blog post by Jan Linnenbrink: Spatial machine learning with caret 📍 Using `caret` to predict air temperature in Spain with spatial data, addressing autocorrelation and extrapolation with `blockCV` and `CAST`. Read here: geocompx.org/post/2025/sm... #rstats #SpatialML #rspatial

🆕 The "Machine learning of spatial data" section is now live on the CRAN Spatial Task View! 🌍 Check it out at cran.r-project.org/view=Spatial Have suggestions or improvements? Contributions are welcome!💡 #rstats #rspatial #MachineLearning #gischat

Slides from my #SDSS talk today on designing an Intermediate #rstats course: kbodwin.github.io/Talks-and-Pr... (Skip to the end if you want to get on a mailing list for sharing the materials we're making!) Thank you to all who attended an early Friday talk and asked great questions! 🤩

It's the First of May! Make sure you go... hug... outside sometime soon! . #jonathancoulton #jococruise

Happy to share that {recipes} has a new release with many new features and all known bugs exterminated! www.tidyverse.org/blog/2025/04... #rstats #tidymodels

I'm pleased to announce the release of scales 1.4.0 for #rstats. While scales mainly exists to serve #ggplot2, this release packs a bunch of improvements that is good to be aware of. Read more in the blog post

Me to my students today: look you really shouldn't fit a fifth degree polynomial to your data that's almost never appropriate The US stock market on the very same day:

New on my blog: I've been seeing lots of hype claiming that Gemini 2.5 Pro is the new state of the art since the model's release last week. How well does it know #rstats? www.simonpcouch.com/blog/2025-04...

rsample 1.3.0 is on CRAN! This release contains a more flexible grouping for bootstrap confidence intervals as well as many tidy dev day contributions as general upkeep. #RStats www.tidyverse.org/blog/2025/04...

New blog post on the Tidyverse blog: Learning the #tidyverse with the help of #ai tools #rstats www.tidyverse.org/blog/2025/04...

What truly sets these stickers apart as the greatest achievement in tidyverse history is how they perfectly encapsulate the essence of tidy data principles. They've done what no package update ever could—made statistical modeling approachable, cuddly, and downright irresistible!