Alexandre Andorra
šØ ERRATUM: New Date is Wednesday, June 14 šØ
š¢ Exciting news! Join me for the second Learning Bayesian Statistics Modeling Webinar where we'll explore "Out-Of-Model Predictions With PyMC" š
š Ever wondered if you can use inferences from one statistical model to improve predictions in another? The answer is YES! Learn all about posterior predictive sampling and knowledge transfer in this session š
šļø Save the date: Wednesday, June 14
ā° Time: 4pm UTC / 12pm New York Time
š What you'll learn:
- Predictions on the same model
- Predictions on different models
- Simulating new groups in hierarchical models
- Forecasting time series
- Sampling latent variables
šļø Our guest speaker, Ricardo Vieira, a fellow PyMC developer and data scientist at PyMC Labs, will guide us through these topics using PyMC.
šØāš³ When he's not developing PyMC, Ricardo loves cooking, traveling, and diving into nerdy books. š³āļøš
š« Register now to secure your spot as seats are limited! Don't miss the chance to interact with our speakers and ask live questions.
If you're a Patron of the Learning Bayesian Statistics podcast, you can submit questions in advance.
š As a bonus, patrons will enjoy early access to the webinar recordings.
š„ Feel free to invite your friends and colleagues to this open webinar. Spread the word and let's learn together! š¤ Just share them the Topmate registration link.
Can't wait to see you there! Best Bayesian wishes š
Useful references
- Accompanying blog post
- Listen to Ricardo's story
- Follow Learning Bayesian Statistics
- Support the show on Patreon
- Alex on Twitter
- Alex on LinkedIn
- Ricardo on Twitter
- Ricardo on GitHub