@LouiChristopher Hi @LouiChristopher , what is your thought if there is a Scenario 5 where: rate cuts in 2025 AND population growth less than 400,000 people AND unemployment rate above 4.5%? Thank you.
🤩 Missed our event at #PyMConWebSeries?
🔥 Catch up on insights from @danhpt's talk, "An Introduction To Multi-Output Gaussian Processes Using PyMC".
📺 Watch the recording: https://t.co/WRWAYtWL5K
💬 Join the Discourse discussion: https://t.co/peuJgfrkdd
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).
https://t.co/BfGk0PtuKR
By @pymc_labs.
Looking for students to work at Better Tools to Interpret Complex Regression Models with #Bambi#GSoC. If interested you can contact me or @tomicapretto
👋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👉 https://t.co/c397JCr9wg
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.
https://t.co/Fvvg079XSG
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 https://t.co/TKC2XQJLcM
@pymc_devs and @arviz_devs have been upgraded in @GoogleColab
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!
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
https://t.co/0LDooLF79O
https://t.co/K4TUauJYZD
On Tuesday, @danhpt will give the talk “An introduction to multi-output Gaussian processes using PyMC”.
Join the pre-event discussion: https://t.co/OgJpifRGCR
Or subscribe to the Meetup event: https://t.co/xxux64JmWl
Thanks @mistplayapp for sponsoring this series!
#PyMCon
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
https://t.co/0LDooLF79O
https://t.co/K4TUauJYZD
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: https://t.co/JNhWDZQoeB
PyMC is Forking Aesara to PyTensor.
PyTensor will allow for new features such as labeled arrays, as well as speed up development and streamline the PyMC codebase and user experience.
Full announcement: https://t.co/mdhtoNac1k
PyTensor code: https://t.co/HfhM28GxzJ
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 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: https://t.co/2xHI4LlEBs
We are looking for folks like you to share your knowledge, best practices, or tricks with the wider PyMC community 📣
🥇 First-time speakers are encouraged.
👀The review process will be double-blind.
Review all the details here: https://t.co/LKA6NbSicb.