Thomas Wiecki
where else to find them
website:https://www.pymc-labs.com
github:twiecki
bluesky:twiecki.bsky.social
x:twiecki
linkedin:twiecki
speakerdeck:twiecki
what they talk about
where they keep going back
- PyData London2 editions2016–2022
on a stage with
never shared a talk
who talks about the same things
- Nicole Carlson6 talks
- Chris Fonnesbeck7 talks
- Colin Carroll6 talks
- Junpeng Lao3 talks
- Peadar Coyle3 talks
- Kalyan Prasad9 talks
| title | conference | date |
|---|---|---|
| The State of the Art for Probabilistic Programming | PyData Global 2022 | 2022-12-01 |
Survey of concrete advances and demos: PyMC moves from monolith to layered stack, compiling to PyTensor and BlackJAX or Rust samplers; examples show JAX and a… | ||
| Solving Real-World Business Problems with Bayesian Modeling | PyData London 2022 | 2022-06-17 |
Announces PyMC 4 with JAX and GPU sampling and shows concrete Bayesian builds: a CAC estimate that yields 25% probability a channel is profitable… | ||
| Probablistic Programming Data Science with PyMC3 | PyData London 2016 | 2016-05-06 |
Builds and runs Bayesian models in PyMC3 using a Student t likelihood and Hamiltonian Monte Carlo NUTS HMC to draw 5,000 samples, producing a posterior… | ||
| Probablistic Programming Data Science with PyMC3 | PyData London 2016 | 2016-05-06 |
Overview of concrete claims and results: PyMC3 with Theano implements Bayesian models and runs MCMC (NUTS) and variational inference (ADVI) to automate… | ||
| Algorithmic Trading with Zipline | PyData Berlin 2014 | 2014-07-25 |
Zipline is a BSD-licensed, event-driven backtester that walks historical data row by row and prevents look‑ahead bias while outputting results as Pandas… | ||
| nothing matches | ||