Vasily Ershov
where else to find them
no profile links on file
what they talk about
where they keep going back
- PyData Los Angeles2 editions2018–2019
on a stage with
never shared a talk
who talks about the same things
- Anna Veronika Dorogush2 talks
- Thomas J Fan7 talks
- Keith Kraus4 talks
- Felix Wick2 talks
- Pedro Tabacof2 talks
- Tianqi Chen6 talks
| title | conference | date |
|---|---|---|
| Gradient Boosting for Data with Both Numerical and Text Features | PyData Los Angeles 2019 | 2019-12-03 |
CatBoost claims automatic, high-quality handling of categorical and text features: target-leakage-free label encoding via time-ordered leave‑one‑out estimates… | ||
| CatBoost - The New Generation of Gradient Boosting | PyData Los Angeles 2018 | 2018-10-17 |
CatBoost claims to outperforms existing implementations on public benchmarks and ships an open source library with CPU and GPU engines, native handling of… | ||
| Crunching Your Data with CatBoost - the New Gradient Boosting Library | PyData NYC 2018 | 2018-10-11 |
PyData NYC 2018
A comprehensive tutorial on CatBoost (http://catboost.ai), a new open-source gradient boosting library, that outperforms existing publicly… | ||
| CatBoost: Fast Open-Source Gradient Boosting Library For GPU | PyData Berlin 2018 | 2018-07-06 |
PyData Berlin 2018
CatBoost (http://catboost.yandex) is a new open-source gradient boosting library, that outperforms existing publicly available… | ||
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