Would love to see Brandon T. Willard twitte more ;)

Algorithms for Decision Making - 700+ page 2022 #ebook algorithmsbook.com/files/dm.pdf

The PyMC Developers https://bayes.club/@pymc is growing with more great features :)

📢 pandas DataFrame output for scikit-learn transformers 🔸 Some examples in action 🔸 Try it out with the nightly build 🔸 +FAQs ↪️ Track feature names ⏩⏩ Subscribe to our YouTube youtu.be/J4KCu9WWDTo

Looking fowards to amazing talks at PyMC Conference 2022 🤩🤩🤩

🌐 Hello World! 👋🏼 CFP (call for proposals) for our PyMCon Series are open! #PyMCon Web Series is an upcoming async (online) conference dedicated to applied stats. 🗓️ Submit by: Nov 30, 2022 ➡️ Full details: pymcon.com/cfp/

Your intelligence cannot be measured by a number. It is defined by your willingness to learn, solve problems and try new things. You are more than just a number. Develop your skills. Share your brilliant ideas. Your skills are more valuable than your grades. 🧠

Hello PyTensor :)

The first event of the PyMCon Web Series is here! In this talk, Dante will answer “what is a Data Generating Process and why does it matter?”. The talk will be in two weeks and Dante created a Colab notebook 🚀 to engage with attendees in advance: discourse.pymc.io/t/pymcon-web-s…

I am excited and looking forward to talking about Multi-output Gaussian processes using #PyMC at #PyMCon next week.

Danh Phan just gave a talk on Multi Output Gaussian Processes. These are a new capability in PyMC and are quite useful in practice. Check out the code details and watch the talk at the links below buff.ly/3KCk3Td buff.ly/3IW1Hes

PyMC Developers https://bayes.club/@pymc and ArviZ have been upgraded in Colaboratory You'll see the updated default environment roll out in the next couple of days. Huge thanks to all the teams in all projects for making Bayesian workflows so easy!

Join us for an informative talk by Bill Engels on fitting Gaussian Processes in PyMC! Discover how the Hilbert Space Gaussian Process approximation can help you scale up for larger datasets and non-Gaussian likelihoods meetup.com/es-ES/pymc-onl…

Want to learn how to make your Bayesian models bigger? Sandra has created a library that does just that. Join us Thursday to learn more about Bayesians models at scale. buff.ly/3YYKtSr

👋Say goodbye to the hassle of deploying your #PyMC models! 🚀 The new #ModelBuilder class is here to simplify your workflow in deploying your PyMC models to production. Fit(), predict(), save(), and load() your PyMC models with ease!🤩 Check out now👉 t.ly/ModelBuilder

Looking for students to work at Better Tools to Interpret Complex Regression Models with #Bambi #GSoC. If interested you can contact me or Tomás Capretto

Pleased to announce the release of #PyMC-Marketing: A new open-source library to do #Bayesian media mix and customer lifetime value modeling (successor of lifetimes library). pymc-labs.io/blog-posts/pym… By PyMC Labs.

🤩 Missed our event at #PyMConWebSeries? 🔥 Catch up on insights from Danh Phan's talk, "An Introduction To Multi-Output Gaussian Processes Using PyMC". 📺 Watch the recording: youtu.be/8YN7dLJlHIE 💬 Join the Discourse discussion: discourse.pymc.io/t/11395

My favorite technical blogs

How to fold a paper airplane that loops back to you — fun for kids to play with.