Eyal Kazin
where else to find them
what they talk about
all 4 in the filters
where they keep going back
- PyData Global2 editions2022–2024
all 4 in the filters
on a stage with
never shared a talk
who talks about the same things
- Ruben Mak8 talks
- Allen Downey9 talks
- Vincent D Warmerdam22 talks
- Marysia Winkels9 talks
- Alon Nir5 talks
- Lucas Javier Bernardi4 talks
| title | conference | date |
|---|---|---|
| 🧠🧹 Causality - Mental Hygiene for Data Science | PyData Global 2024 | 2024-12-03 |
Claims that assessing whether causality applies yields value even if full causal inference is infeasible, and that using concrete tools changes outcomes: the… | ||
| Hypothesis Testing Stop Criterion with “Precision Is The Goal” | PyData Global 2022 | 2022-12-01 |
Claim: Bayesian HDI with ROPE does not magically fix sequential stopping bias; simulations with Bernoulli coin flips and Python notebooks show HDI+ROPE can… | ||
| Everything That You Wanted To Know About P-Values But Were Afraid To Ask | PyData Global 2022 | 2022-12-01 |
Claim: p-values have no acceptance signal. Evidence: simulated thousands of binomial trials with 256 tosses per experiment and binned p-values, showing a flat… | ||
| A Gentle Introduction To Causal Inference | PyData Global 2022 | 2022-12-01 |
Claims that causal relationships are recoverable from observational data without running RCTs, demonstrates with a 10,000‑patient example where the population… | ||
| Hypothesis Testing Stop Criterion with "Precision Is The Goal" | PyData London 2022 | 2022-06-17 |
Claims that Bayesian methods do not magically fix sequential stopping and instead recommends stopping on interval precision is the goal rather than p-value… | ||
| Improved Decision Making with Pareto Fronts | PyConline AU 2021 | 2021-09-10 |
Claims that Pareto fronts expose the set of non‑dominated tradeoffs so no precommitted weighting is needed, and that holding subjective choices until after… | ||
| A Hands-On Introduction To Multi-Objective Optimization | PyCon US 2021 | 2021-05-14 |
Hands-on material uses Git-hosted Jupyter notebooks and Google Colab to solve a knapsack: minimize bag weight while maximizing value, with code that finds… | ||
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