Always happy to see new MLOps books! The DevOps for Data Science is a new book by Alex K Gold. As the name implies, the book focuses on topics related to DevOps for data scientists. This includes the following:
✅ Command line
✅ Working with Linux systems
✅ Docker
✅ Scaling resources
✅ Network, domains, DNS, SSL, etc.
✅ Authentication
In the development version of {collapse} [v2.0.15, available via install.packages("collapse", repos = "https://fastverse.r-universe.dev")], the pivot() function has received a FUN argument to support aggregation, including a number or hard-coded internal functions that do this "on the fly". Initial benchmarks show that this significantly outperforms other pivot table options in R. More at https://sebkrantz.github.io/collapse/reference/pivot.html (feel free to test and give feedback). #rcollapse#rstats#DataScience
I was looking for examples of interactive data visualization for a gradient descent algorithm, and I found this app by Lili Jiang. This desktop app is based on C++ and enables simulation and visualization of different gradient descent algorithms, such as momentum, AdaGrad, RMSProp, and Adam. The app enables to compare different methods simultaneously.
James Baker on Bluesky: 'From 2025/26 University of Southampton DH will be running a new MSc in Digital Humanities (Data Science). Huge thanks to all my colleagues who've helped turn our little idea into a reality, especially the amazing
Lexi Webster https://www.southampton.ac.uk/courses/digital-humanities-data-science-masters-msc
And look out for a Humanities Data Science Lectureship we'll be advertising in the Autumn to lead this programme (ask me if you are interested in knowing more before the ad comes out).'
(1/2) Shiny Apps for demystifying statistical models and methods 🚀
This is a cool website that explains different statistical concepts with the use of interactive Shiny Apps. Ben Prytherch made this website from the Department of Statistics at Colorado State University.
(2/2) It covers the following topics:
✅ Factorial ANOVA
✅ Mixed effect ANOVA
✅ Mixed effect with random slopes
✅ Logistic regression
✅ ANCOVA
✅ One-way ANOVA
✅ Odds ratio vs relative risk
✅ Correlation coefficient vs slope
✅ Sampling
Some of the folks who signed up for my #StickersAndStamps project finally got an email from me, thanking them for letting me know when their letters arrived.
Most of them arrived on, or near, the the day I had my surgery.
My recovery is still going well, and I finally had the mental and physical energy for the correspondence.
I'll be returning to working on the data visualization and art of the project soon!