A Bloomberg Terminal costs $27,660 per year (raising to $30,000 in 2023). It's the portal to all the world's financial data. Reserved for the Wall Street elite to outfox the normal investor. Unaffordable for 99.9% of us. Until now:

@[email protected], mastodon, let’s see how it goes

We are adding a new cool decorator in the Memray pytest plugin that will make your test fail if it leaks memory 🤖 Is like valgrind but a LOT of times faster 🚀and it doesn't get confused by the Python interpreter specialised allocator. And configure it is just one line! 🙀

PyMC supports JAX for fast CPU and GPU sampling. But how can you use JAX functions directly in your PyMC Developers https://bayes.club/@pymc model? In this post, Ricardo Vieira and Adrian Seyboldt show how you can integrate JAX to build fast Bayesian Neural Networks and ODEs. pymc-labs.io/blog-posts/jax…

Last Autumn I’ve held my first course “Practical Bayes” at Moscow State University. You can find there hierarchical models, AB tests, GPs and CLV. Here is the page with all the slides at one place ferrine.github.io/pages/practica…

Curious about heteroscedasticity in your data? The Bayesian way is made easy by the new Bambi release

The AB Testing // Causal Inference // Econometrics // Statistics cross over language kills me

I was struggling to formulate when Bayesian ab testing supersedes even to myself. Demetri (is over at the other place too) wrote an excellent thread about the real motivation of being and not being Bayesian.

Starting next month I'll read a free webinar series about practical Bayesian methods we use in PyMC Labs. Schedule your time and invite anyone you know! meetup.com/pymc-labs-onli… #PyMC

With the teaser left behind, don't miss the first full lecture in the webinar series "State of Bayes," tomorrow, April 20! You will learn the core principles behind the Bayes formula and how it all relates to real life Use this link to register: meetup.com/pymc-labs-onli…

Do not miss the 3d session of the State of Bayes webinar. I will talk about hierarchies, where they come from and how to move from a non-hierarchical model to a hierarchical one. We will also learn how to effectively use prior predictive to debug a model meetup.com/pymc-labs-onli…

🔥Linear Regressions can be OP🔥 With Bayes you can inform: 📊One feature is more important than another 🏹The extent to which linear regression is accurate ➕The sign of the effect size Today, State of Bayes (May 25, 16:00UTC+0): meetup.com/pymc-labs-onli…

This is actually how "confidence intervals" work in statistics. I'm being 100% serious. Read on. This is a really fun concept. x.com/HumansNoContex…

1/ Are you ready to unlock the power of Gaussian Processes? Join us for an engaging webinar where we dive into the fascinating world of Gaussian Processes and their applications. 📅 June 22nd, 2023 ⏰ 9am PT / 12pm ET 🎙️ Speaker: Maxim Kochurov 🔗 Register:👉meetup.com/pymc-labs-onli…

Looking for a deeper understanding of GPs and their practical applications in time series analysis❓ Don't miss the closing webinar session where Maxim Kochurov will explore essential concepts and demonstrate the Rolling regression example from pymc-examples. meetup.com/pymc-labs-onli…

Brilliant

A crazy idea, there should be something trained on Wikipedia to create auto tags!

This is massive