本番環境にベイズモデルをデプロイする方法、全部話します
https://qiita.com/Gotoubun_taiwan/items/d543deb6f2b7a2763797?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #Python #R #Stan #PyMC #Numpyro

🚀 New to Variational Inference?

Check out A Beginner’s Guide to VI — a hands-on tutorial from @pymc_labs & @PyData Virginia, led by @fonnesbeck

📺 https://www.youtube.com/watch?v=XECLmgnS6Ng

🎥 Learn VI, ADVI, Pathfinder, & real-world modeling tips from Chris.

#Bayesian #PyMC #ML #MCMC

PyMC is in Google Summer of Code 2025!

We're excited to be part of #GSoC2025 under @NumFOCUS If you're passionate about #Bayesian stats & #OpenSource, this is your chance to contribute to #PyMC!

📅 Deadline: April 8, 18:00 UTC
🔗 Apply now: https://www.pymc.io/blog/blog_gsoc_2025_announcement.html

Advancing probabilistic programming for scientific applications?

#EuroSciPy2025 welcomes original research on Bayesian methods, MCMC algorithms, and statistical modeling in #Python.

Submit your work as tutorials, talks, or posters!

#BayesianStatistics #ScientificPython #PyMC #PyStan #EuroSciPy

Developing Bayesian inference methods for complex scientific problems?

#EuroSciPy2025 is seeking original work on Hamiltonian Monte Carlo, variational inference, and statistical modeling in #Python.

Submit your innovations: https://pretalx.com/euroscipy-2025/cfp #CfP

#BayesianStatistics #ScientificPython #BayesianInference #PyMC #PyStan #EuroSciPy

📢 Episode 126 is Live!

🎧 Listen now 👉 https://learnbayesstats.com/episode/126-mmm-clv-bayesian-marketing-analytics-will-dean

🎙️ In this episode with
Alex Andorra, Will Dean from
PyMC-Labs explains how Bayesian methods are reshaping marketing analytics, from MMM to CLV estimation and more ....

#BayesianMarketing #MMM #CLV #MarketingAnalytics #MachineLearning #ProbabilisticProgramming #DataScience #PyMC #Marketing

Are you a Python enthusiast looking to explore the power of probabilistic programming? Join us next week at PyHouston to hear Larry Jones introduce #PyMC — the go-to Python library for probabilistic modeling and Bayesian inference!

https://www.meetup.com/python-14/events/305485300/?eventOrigin=group_upcoming_events

🔴 𝐇𝐨𝐰 𝐓𝐨 𝐅𝐨𝐜𝐮𝐬 𝐎𝐧 𝐖𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬 𝐈𝐧 𝐓𝐢𝐦𝐞 𝐒𝐞𝐫𝐢𝐞𝐬 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠
🔗 https://learnbayesstats.com/episode/124-state-space-models-structural-time-series-jesse-grabowski

✅ 𝐈𝐧 𝐭𝐡𝐢𝐬 𝐄𝐩𝐢𝐬𝐨𝐝𝐞, 𝐲𝐨𝐮’𝐥𝐥 𝐥𝐞𝐚𝐫𝐧 𝐡𝐨𝐰 𝐭𝐨 𝐚𝐜𝐡𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 with @pymc

Alex Andorra & Jesse Grabowski talk about state space models, simplifying forecasting, applications etc.

#LearningBayesianStatistics #PyMC #forecasting #timeseries

I genuinely miss PyMC2. The #PyMC and #Arviz APIs changes so frequently, that it's impossible to know what the standard approach to anything is.

#Bayesian #Statistics in #Python should be easy.

To be honest, I'd really like a well maintained #SkLearn module for it.

Learning about PyMC makes me want to become a statistician.. super interesting way to think about data, but so much goes into building a good model! So many rabbit holes.

Bayesian modelling is clearly super powerful though and seems to offer some answers to some of the most intractable problems with black-box ML. A reliable model with known and understandable inputs is invaluable for certain use cases.

#pydata #pydatalondon #pymc #bayesianstats