Norm Matloff (你有冇諗清楚呀?)
@matloff.bsky.social
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
Reposted by Norm Matloff (你有冇諗清楚呀?)
Around sunset, Outer Sunset 🌞
December 27, 2025 at 6:58 PM
Around sunset, Outer Sunset 🌞
Reposted by Norm Matloff (你有冇諗清楚呀?)
In all seriousness, it's not til you start reading the utterly bullshit attributions in the papers that cite your work that you realise scientists legitimately cannot read above a grade 6 level
#statsky
#statsky
December 18, 2025 at 11:11 PM
In all seriousness, it's not til you start reading the utterly bullshit attributions in the papers that cite your work that you realise scientists legitimately cannot read above a grade 6 level
#statsky
#statsky
A post in X marveled at the fact that in very high dimensions, all (mean 0) random vectors are approximately orthogonal. I added the well-known fact that that means they are also approximately equidistant. E.g. length-1 vectors are about sqrt(2) apart. 🧵 1/
December 5, 2025 at 6:54 AM
A post in X marveled at the fact that in very high dimensions, all (mean 0) random vectors are approximately orthogonal. I added the well-known fact that that means they are also approximately equidistant. E.g. length-1 vectors are about sqrt(2) apart. 🧵 1/
Reposted by Norm Matloff (你有冇諗清楚呀?)
Logistic regression with 5 million observations.
glm() - about 2 hours
glm(start =) - less than 2 minutes.
Almost feels too good...
#rstats
glm() - about 2 hours
glm(start =
Almost feels too good...
#rstats
December 3, 2025 at 8:12 AM
Logistic regression with 5 million observations.
glm() - about 2 hours
glm(start =) - less than 2 minutes.
Almost feels too good...
#rstats
glm() - about 2 hours
glm(start =
Almost feels too good...
#rstats
Very sorry to hear that, one of the giants in #rstats.
#rstats
It is with profound sadness I heard that my long-time friend and colleague, John Fox passed away this week.
He was the author of {car}, {effects}, {Rcmdr}, ... and numerous influential books. I will miss him greatly.
www.john-fox.ca
It is with profound sadness I heard that my long-time friend and colleague, John Fox passed away this week.
He was the author of {car}, {effects}, {Rcmdr}, ... and numerous influential books. I will miss him greatly.
www.john-fox.ca
John Fox: Books and Software
www.john-fox.ca
November 29, 2025 at 11:13 PM
Very sorry to hear that, one of the giants in #rstats.
Reposted by Norm Matloff (你有冇諗清楚呀?)
Guides for migrating to Positron
https://posit.co/blog/positron-migration-guides/
#rstats #datascience
https://posit.co/blog/positron-migration-guides/
#rstats #datascience
Guides for migrating to Positron
Summary: Guides explain migrating to Positron from VS Code and RStudio, highlighting features for Python and R, with walkthroughs and migration tips
posit.co
November 28, 2025 at 2:57 PM
Guides for migrating to Positron
https://posit.co/blog/positron-migration-guides/
#rstats #datascience
https://posit.co/blog/positron-migration-guides/
#rstats #datascience
# RStats. Pop quiz:
> x <- matrix(0,nrow=10,ncol=2)
> x[c(2,5,9),] <- 1:2
> x
What is printed out? Why?
> x <- matrix(0,nrow=10,ncol=2)
> x[c(2,5,9),] <- 1:2
> x
What is printed out? Why?
November 29, 2025 at 4:16 AM
# RStats. Pop quiz:
> x <- matrix(0,nrow=10,ncol=2)
> x[c(2,5,9),] <- 1:2
> x
What is printed out? Why?
> x <- matrix(0,nrow=10,ncol=2)
> x[c(2,5,9),] <- 1:2
> x
What is printed out? Why?
Reposted by Norm Matloff (你有冇諗清楚呀?)
Applied Machine Learning Using mlr3 in R by Bernd Bischl, Raphael Sonabend, Lars Kotthoff and Michel Lang
#RStats
https://bigbookofr.com/chapters/packages.html#applied-machine-learning-using-mlr3-in-r
#RStats
https://bigbookofr.com/chapters/packages.html#applied-machine-learning-using-mlr3-in-r
November 27, 2025 at 4:30 PM
Applied Machine Learning Using mlr3 in R by Bernd Bischl, Raphael Sonabend, Lars Kotthoff and Michel Lang
#RStats
https://bigbookofr.com/chapters/packages.html#applied-machine-learning-using-mlr3-in-r
#RStats
https://bigbookofr.com/chapters/packages.html#applied-machine-learning-using-mlr3-in-r
Reposted by Norm Matloff (你有冇諗清楚呀?)
A friend of mine was hired at a company which uses their own self-hosted AI tools a few weeks ago.
Just today they've told me: "Dude, I think I'm only gonna last 2 months here. Their energy bills make it financially insolvent."
Just today they've told me: "Dude, I think I'm only gonna last 2 months here. Their energy bills make it financially insolvent."
October 8, 2025 at 4:06 PM
A friend of mine was hired at a company which uses their own self-hosted AI tools a few weeks ago.
Just today they've told me: "Dude, I think I'm only gonna last 2 months here. Their energy bills make it financially insolvent."
Just today they've told me: "Dude, I think I'm only gonna last 2 months here. Their energy bills make it financially insolvent."
Reposted by Norm Matloff (你有冇諗清楚呀?)
Just published my new R article: 'Mapply: When You Need to Iterate Over Multiple Inputs'! 🚀 If `sapply` doesn't quite cut it for your multi-variable iterations, `mapply` is your friend. Learn to pair inputs beautifully. #RStats #Mapply
https://drmo.site/bhXeDb
https://drmo.site/bhXeDb
October 2, 2025 at 1:02 PM
Just published my new R article: 'Mapply: When You Need to Iterate Over Multiple Inputs'! 🚀 If `sapply` doesn't quite cut it for your multi-variable iterations, `mapply` is your friend. Learn to pair inputs beautifully. #RStats #Mapply
https://drmo.site/bhXeDb
https://drmo.site/bhXeDb
This really is an excellent book.
Modern Statistics for Modern Biology by Susan Holmes and Wolfgang Huber
#RStats
https://bigbookofr.com/chapters/life%20sciences.html#modern-statistics-for-modern-biology
#RStats
https://bigbookofr.com/chapters/life%20sciences.html#modern-statistics-for-modern-biology
October 8, 2025 at 2:23 AM
This really is an excellent book.
Reposted by Norm Matloff (你有冇諗清楚呀?)
Time Series Analysis and Its Applications by Robert H. Shumway and David S. Stoffer
#RStats
https://bigbookofr.com/chapters/time%20series%20analysis%20and%20forecasting.html#time-series-analysis-and-its-applications
#RStats
https://bigbookofr.com/chapters/time%20series%20analysis%20and%20forecasting.html#time-series-analysis-and-its-applications
October 2, 2025 at 12:43 PM
Time Series Analysis and Its Applications by Robert H. Shumway and David S. Stoffer
#RStats
https://bigbookofr.com/chapters/time%20series%20analysis%20and%20forecasting.html#time-series-analysis-and-its-applications
#RStats
https://bigbookofr.com/chapters/time%20series%20analysis%20and%20forecasting.html#time-series-analysis-and-its-applications
Excellent app!
Dr. Who solves the
"should we lump or should we split"
dilemma.
Compare lots of stat methods in this interactive app.
#rshiny #rstats #statistics #rstudio #bayesian #medical #treatment
Lumping&splitting.
Bias&variance.
Individuals&groups.
Borrowing strength
🧪
trials.shinyapps.io/Bias-varianc...
"should we lump or should we split"
dilemma.
Compare lots of stat methods in this interactive app.
#rshiny #rstats #statistics #rstudio #bayesian #medical #treatment
Lumping&splitting.
Bias&variance.
Individuals&groups.
Borrowing strength
🧪
trials.shinyapps.io/Bias-varianc...
September 26, 2025 at 5:03 PM
Excellent app!
Reposted by Norm Matloff (你有冇諗清楚呀?)
Hey
Bike lights
It's fall now
Bike lights
It's fall now
September 23, 2025 at 1:12 AM
Hey
Bike lights
It's fall now
Bike lights
It's fall now
Reposted by Norm Matloff (你有冇諗清楚呀?)
Uranus and the Pleiades. 22 September 2025. 🔭 🧪 🎨 #astrophotography #SciArt #photography #StormHour #ThePhotoHour
September 22, 2025 at 10:44 AM
Uranus and the Pleiades. 22 September 2025. 🔭 🧪 🎨 #astrophotography #SciArt #photography #StormHour #ThePhotoHour
Reposted by Norm Matloff (你有冇諗清楚呀?)
I tell students: You don’t need to memorize every ML algorithm. But you do need to understand:
— loss functions
— overfitting
— regularization
Master the “why,” not just the “how.”
#DataScience #MachineLearning #Statistics #AI #RStats
— loss functions
— overfitting
— regularization
Master the “why,” not just the “how.”
#DataScience #MachineLearning #Statistics #AI #RStats
September 18, 2025 at 6:08 PM
I tell students: You don’t need to memorize every ML algorithm. But you do need to understand:
— loss functions
— overfitting
— regularization
Master the “why,” not just the “how.”
#DataScience #MachineLearning #Statistics #AI #RStats
— loss functions
— overfitting
— regularization
Master the “why,” not just the “how.”
#DataScience #MachineLearning #Statistics #AI #RStats
Reposted by Norm Matloff (你有冇諗清楚呀?)
Most companies don’t need deep learning. They need clean joins, honest metrics, and interpretable results.
Startups often chase GPU clusters before fixing their CSVs.
#DataScience #MachineLearning #AI #RStats
Startups often chase GPU clusters before fixing their CSVs.
#DataScience #MachineLearning #AI #RStats
September 17, 2025 at 10:17 PM
Most companies don’t need deep learning. They need clean joins, honest metrics, and interpretable results.
Startups often chase GPU clusters before fixing their CSVs.
#DataScience #MachineLearning #AI #RStats
Startups often chase GPU clusters before fixing their CSVs.
#DataScience #MachineLearning #AI #RStats
Reposted by Norm Matloff (你有冇諗清楚呀?)
It’s neat to discover that all these #rstats pocket friends and zoom friends I’ve known for years actually *do* exist in real life #PositConf2025
September 16, 2025 at 11:51 PM
It’s neat to discover that all these #rstats pocket friends and zoom friends I’ve known for years actually *do* exist in real life #PositConf2025
A reminder: When debugging some code and it finally runs and produces output, that doesn't mean the code is now debugged. I myself fell victim to this thinking last week.
I am updating my qeML package, with one change involving a nice aspect of k-Nearest Neighbors: 🧵 1/
I am updating my qeML package, with one change involving a nice aspect of k-Nearest Neighbors: 🧵 1/
September 16, 2025 at 9:28 PM
A reminder: When debugging some code and it finally runs and produces output, that doesn't mean the code is now debugged. I myself fell victim to this thinking last week.
I am updating my qeML package, with one change involving a nice aspect of k-Nearest Neighbors: 🧵 1/
I am updating my qeML package, with one change involving a nice aspect of k-Nearest Neighbors: 🧵 1/
Reposted by Norm Matloff (你有冇諗清楚呀?)
You can learn more about this project here, only the second of its kind in the United States.
grist.org/energy/calif...
How this is not being done with much more frequency — in light of our fresh water and drought challenges — is baffling.
#energysky #greensky #energytransition
grist.org/energy/calif...
How this is not being done with much more frequency — in light of our fresh water and drought challenges — is baffling.
#energysky #greensky #energytransition
California’s first solar-covered canal is now fully online
The 1.6-megawatt pilot system is among a growing number of initiatives to put solar over waterways. The approach could generate gigawatts of power nationwide.
grist.org
September 13, 2025 at 4:57 PM
You can learn more about this project here, only the second of its kind in the United States.
grist.org/energy/calif...
How this is not being done with much more frequency — in light of our fresh water and drought challenges — is baffling.
#energysky #greensky #energytransition
grist.org/energy/calif...
How this is not being done with much more frequency — in light of our fresh water and drought challenges — is baffling.
#energysky #greensky #energytransition
Reposted by Norm Matloff (你有冇諗清楚呀?)
So, April of 2024, i gave keynotes at two separate business and data science industry conferences, and told them exactly this was going to happen:
That fixing "AI" mistakes was going to lead to hiring more people to do more work, or paying the original employees to spend time doing it themselves.
That fixing "AI" mistakes was going to lead to hiring more people to do more work, or paying the original employees to spend time doing it themselves.
being a “vibe coding cleanup specialist” is increasingly a real job www.404media.co/the-software...
The Software Engineers Paid to Fix Vibe Coded Messes
Linkedin has been joking about “vibe coding cleanup specialists,” but it’s actually a growing profession.
www.404media.co
September 11, 2025 at 2:01 PM
So, April of 2024, i gave keynotes at two separate business and data science industry conferences, and told them exactly this was going to happen:
That fixing "AI" mistakes was going to lead to hiring more people to do more work, or paying the original employees to spend time doing it themselves.
That fixing "AI" mistakes was going to lead to hiring more people to do more work, or paying the original employees to spend time doing it themselves.
Reposted by Norm Matloff (你有冇諗清楚呀?)
Modern Statistics for Modern Biology by Susan Holmes and Wolfgang Huber
#RStats
https://bigbookofr.com/chapters/life%20sciences.html#modern-statistics-for-modern-biology
#RStats
https://bigbookofr.com/chapters/life%20sciences.html#modern-statistics-for-modern-biology
September 11, 2025 at 1:01 AM
Modern Statistics for Modern Biology by Susan Holmes and Wolfgang Huber
#RStats
https://bigbookofr.com/chapters/life%20sciences.html#modern-statistics-for-modern-biology
#RStats
https://bigbookofr.com/chapters/life%20sciences.html#modern-statistics-for-modern-biology
Reposted by Norm Matloff (你有冇諗清楚呀?)
I will reveal some secrets during this webinar. Come join us if interested in statistics education research. #statsed
There's still time to join us for a new webinar on Statistics Education Research on the 11th! Register here iase-web.org/Webinars.php and join in on the conversation #StatsEd #EduSky #research
September 9, 2025 at 5:28 PM
I will reveal some secrets during this webinar. Come join us if interested in statistics education research. #statsed