Aileen Nielsen
where else to find them
what they talk about
all 5 in the filters
where they keep going back
- PyData London3 editions2016–2018
all 4 in the filters
on a stage with
never shared a talk
who talks about the same things
- Vincent D Warmerdam22 talks
- Marysia Winkels9 talks
- Alon Nir5 talks
- Jigyasa Grover8 talks
- Erin Mikail Staples6 talks
- Ian Ozsvald17 talks
| title | conference | date |
|---|---|---|
| Open Source Fairness | PyData Global 2020 | 2020-11-11 |
Shows concrete failures and concrete fixes: algorithms using proxy variables like healthcare spending reproduce racial gaps (Science study) and… | ||
| Understanding the Machine Learning Behind Common iOS Use Cases | try! Swift NYC 2018 | 2018-09-04 |
-- no description -- | ||
| Be good (and don't be evil): how to audit your work for fairness and inclusion | PyData London 2018 | 2018-04-26 |
Walks through concrete audits: case studies (Latanya Sweeney ads, COMPAS risk scores), legal pressure in the EU and US, and hands‑on fixes that actually change… | ||
| Pythonic Polling Analysis and Comments on 2016's Polling Surprises | PyData London 2017 | 2017-05-05 |
Claims that 2016 polls were catastrophically wrong give way to specifics: national aggregates mostly track the result while state-by-state estimates miss… | ||
| Irregular time series and how to whip them | PyData London 2016 | 2016-05-06 |
Irregular series get concrete answers: use Lomb-Scargle periodogram (no imputation) to recover periods like RR Lyrae and the 11‑year sunspot cycle, prefer… | ||
| NoSQL Python: making data frames work for you in a non-rectangular world | PyData Amsterdam 2016 | 2016-03-12 |
Shows concrete techniques: use json_normalize and ijson to parse nested JSON and ragged CSV fields, subclass list-like column objects and swap class methods to… | ||
| nothing matches | ||