Norm Matloff (你有冇諗清楚呀?)
@matloff.bsky.social
570 followers 910 following 1.5K posts
Em. Prof., UC Davis. Many 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
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matloff.bsky.social
Elegant code is often more difficult to write, with subtler bugs, and difficult to debug. In the case of R, it might also run faster, but there is a tradeoff here, no consistent winner in all cases.
Reposted by Norm Matloff (你有冇諗清楚呀?)
drmowinckels.io
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
A graphic showing the concept of mapply in R, with multiple input vectors being paired and processed by a function returning a single output vector.
matloff.bsky.social
After years of hearing it, I still don't understand why stepwise is considered so evil by some.
matloff.bsky.social
IMO, it's absurd to try to interpret a 4-way interaction. Even explaining 3-ways is questionable.
matloff.bsky.social
Thanks, looks like great stuff on GMM, a topic I've always wanted to pursue but (like many others) have never had the time to do much.
matloff.bsky.social
Thanks, nice work, looking forward to the preprint.
matloff.bsky.social
I strongly agree. The function gtools::defmacro is very important in my work. (I'll give examples here is anyone is interested.) If you have some short misc. task to do, check gtools before writing your own.
Reposted by Norm Matloff (你有冇諗清楚呀?)
matloff.bsky.social
Nice! But what is the theory behind it?
matloff.bsky.social
I certainly never noticed it. Good catch!
matloff.bsky.social
Excellent app!
knotcknot.bsky.social
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...
Lumping and splitting.
Bias and variance.
Individuals and groups.
“Borrowing strength”


Package:T15lumpsplit 1.6 2025-09-24
Author: Roger Day
An interactive “shiny” app.
matloff.bsky.social
All should read.

But I object to the notion that suddenly AI is doing screening of job applications. As statisticians, we know this capability has existed for many, many years. They may have used a simple linear or logistic model, but it's really the same thing, just not as far-reaching.
Reposted by Norm Matloff (你有冇諗清楚呀?)
jmd5120.bsky.social
Hey

Bike lights

It's fall now
Chicago skyline at night from Shedd Aquarium
Reposted by Norm Matloff (你有冇諗清楚呀?)
davidbflower.bsky.social
Uranus and the Pleiades. 22 September 2025. 🔭 🧪 🎨 #astrophotography #SciArt #photography #StormHour #ThePhotoHour
The Pleiades star cluster above centre. Planet Uranus dot with text label near bottom left corner. Many star dots.
matloff.bsky.social
I'm told a highly-qualified Silicon Valley analyst was fired because he recommended using just linear regression in a very simple project.
matloff.bsky.social
I prefer to write the proper equations, tinyurl.com/25nd5shd. But the key point is that writing equations or drawing a tree forces one to write down one's reasoning. The only reason MH is considered "hard" is that people try to intuit the answer rather than following the rules.
tinyurl.com
Reposted by Norm Matloff (你有冇諗清楚呀?)
ddgutierrez.bsky.social
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
Reposted by Norm Matloff (你有冇諗清楚呀?)
ddgutierrez.bsky.social
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
matloff.bsky.social
Alas, in most courses the instructor is more excited about the subject matter than the students. My intellectual passions are in just two areas, coding and probabilistic modeling, and all the courses I taught were in these two categories. :-)