Main Takeaway: www.pydata.org Forecasting time series can be messy, data is often missing, noisy, or full of structural changes like holidays, ... Wes and Scott talk with Armin Ronacher and Mario Zechner about PI, a minimalist agent harness powering tools like OpenClaw.
Nathaniel Forde Bayesian Workflow Pycon Ireland 2025 -
www.pydata.org Forecasting time series can be messy, data is often missing, noisy, or full of structural changes like holidays, ... Wes and Scott talk with Armin Ronacher and Mario Zechner about PI, a minimalist agent harness powering tools like OpenClaw. A presentation on the complexities and subtleties of modelling discrete choice scenarios e.g.
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- www.pydata.org Forecasting time series can be messy, data is often missing, noisy, or full of structural changes like holidays, ...
- Wes and Scott talk with Armin Ronacher and Mario Zechner about PI, a minimalist agent harness powering tools like OpenClaw.
- A presentation on the complexities and subtleties of modelling discrete choice scenarios e.g.
- Simply understanding--let alone designing--complex systems can be tricky.
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