What’s one data visualization that changed your mind?
Not one you made—but one you saw and "felt." Mine: Anscombe’s Quartet—simple, powerful, unforgettable.
#RStats #DataViz #DataScience
13.02.2026 02:09 — 👍 0 🔁 0 💬 0 📌 0
I teach students this: Data science isn’t about answers. It’s about better questions. The best modelers are those who clarify the problem before touching the data.
#DataScience #MachineLearning #AI #RStats
09.02.2026 03:26 — 👍 2 🔁 0 💬 0 📌 0
I still reach for R when I need to:
— Visualize statistical distributions
— Validate modeling assumptions
— Communicate uncertainty
#RStats is still unmatched for thinking statistically at speed.
#DataScience #MachineLearning
30.01.2026 17:49 — 👍 4 🔁 0 💬 0 📌 0
GenAI doesn’t just generate text. It reshapes the UX of knowledge. Search becomes conversation. Documentation becomes dialogue. The tools we build now will redefine how people think in 2026.
#AI #GenAI #LLM
26.01.2026 17:30 — 👍 0 🔁 0 💬 0 📌 0
Most data science jobs are actually problem definition jobs. Before you write a line of code, ask:
— What decision is this driving?
— What does “good” look like?
— What data shouldn’t we use?
#DataScience #MachineLearning #AI #RStats #Python
23.01.2026 18:11 — 👍 2 🔁 0 💬 0 📌 0
As I was working on the 2nd edition of my ML book, I kept thinking: The real job of a data scientist isn’t to build models. It’s to help people make better decisions under uncertainty. That hasn’t changed—and probably never will.
#DataScience #MachineLearning #AI #RStats
20.01.2026 21:50 — 👍 2 🔁 0 💬 0 📌 0
What’s one data tool or concept you rediscovered in 2025 that surprised you with its usefulness? For me: data.table in R. Lightning-fast joins. Elegant logic.
#RStats #DataScience #MachineLearning
16.01.2026 21:48 — 👍 2 🔁 2 💬 0 📌 0
The longer I work in data science, the more I value:
— Sharp definitions
— Clear goals
— Modest, testable models
Hype fades. Clarity endures.
#DataScience #MachineLearning #AI #RStats
12.01.2026 22:31 — 👍 5 🔁 0 💬 0 📌 0
I always tell my students: The best model isn’t the most accurate. It’s the one you can explain clearly to a decision-maker who wasn’t in the room when it was built.
#DataScience #MachineLearning #AI #RStats
09.01.2026 21:53 — 👍 11 🔁 2 💬 0 📌 0
R remains my go-to for exploratory analysis.
— Compact syntax
— Powerful visualization
— Mature statistical packages
No language supports statistical reasoning like #RStats.
#DataScience #MachineLearning #AI
06.01.2026 17:57 — 👍 3 🔁 0 💬 1 📌 0
In 2026, the differentiator won’t be the LLM—it’ll be:
— who owns the context
— who integrates memory
— who designs with guardrails
Next-gen AI is less about size, more about fit.
#AI #GenAI #LLM
02.01.2026 19:49 — 👍 0 🔁 1 💬 0 📌 0
2025 saw huge advances in AI. But most companies still struggle with:
— dirty data
— vague goals
— misaligned metrics
The core challenges aren’t new. They’re just louder.
#AI #GenAI #LLM
31.12.2025 01:23 — 👍 0 🔁 0 💬 0 📌 0
Regression Modeling Strategies
NEW book! Regression Modeling Strategies - hbiostat.org/rmsc/
#DataScience #Statistics #MachineLearning #AI #Rstats
26.12.2025 17:24 — 👍 2 🔁 0 💬 0 📌 0
We are dedicated to fostering community for data visualization professionals.
Assistant professor at Georgia State University, formerly at BYU. 6 kids. Study NGOs, human rights, #PublicPolicy, #Nonprofits, #Dataviz, #CausalInference.
#rstats forever.
andrewheiss.com
Signal: andrewheiss.01
R enthusiast, statistician, blogger, and R Community supporter since 2009
rworks.dev #rstats community blog, edited by @RevoJoe & @ivelasq3
Posts about #rstats. Weekly newsletter digest at https://rstats.blaze.email. Maintained by @alastairrushworth.com.
Mostly #rstats in #Ecology, #Nature and #LifeScience
|| PhD Statistics | Research Software Engineer | Loves #rstats | Outdoors person | Coffee person | Photography person | Serial Hobbiest | he/him ||
Committed to the daily re-imagining of what a university press can be since 1962.
Website: https://mitpress.mit.edu // The Reader (our home for excerpts, essays, & interviews): https://thereader.mitpress.mit.edu
MLCommons is an AI engineering consortium, built on a philosophy of open collaboration to improve AI systems. Through our collective engineering efforts, we continually measure and improve AI technologies' accuracy, safety, speed, and efficiency.
Writing modeling packages at @posit.co (née RStudio). Opinions are my own. https://max-kuhn.org/
Statistics lecturer | Freelance statistical consultant & research analyst | #rstats dev @easystats.github.io
home.msbstats.info
(He/Him)
I work in statistics and AI. Consultant, teacher, researcher. #Rstats user.
Book: https://modernstatisticswithr.com
Homepage: https://mansthulin.se
Co-founder of https://aireview.se
I help R developers improve their testing skills.
https://jakubsobolewski.com
Staff Engineer @ Appsilon.
Prof. Most tweets about R. “Polisci, it’s all about what’s going on.”
http://arelbundock.com
Em. Prof., UC Davis. Various awards, incl. book, teaching, public service. Many books, latest The Art of Machine Learning (uses qeML pkg). Former Editor in Chief, the R Journal. Views mine. heather.cs.ucdavis.edu/matloff.html
Data scientist by day, couch potato by night
I ❤️ data
👩💻 #rstats | #rladies
📊 #dataviz | #ggplot
💌 #postcrossing | #snailmail
🏠 #DenBosch, NL
Health Data Science | 📊 DataViz | 📖✨️ | 🐾
LinkedIn: linkedin.com/in/darakhshannehal
GitHub: github.com/darakhshannehal
Author of Practical R for Mass Communication & Journalism
❤️ #RStats, writing & cities designed for walking/biking
Having fun with #GenAI
(Mostly) retired; former tech journalist
Also #VibrantAging #Running #Photography #Crochet #ASL
Software Engineer at Posit PBC.
I mostly post about R, Python, and Deep Learning.
Github: https://github.com/t-kalinowski
