Data Conference Databasea Query.Farm index

Anna Veronika Dorogush

Events2

Conferences1

Talks2

Years active2019

Miles between events5,4412 in-person events · 2 countries

Appearances by year

PyData

Talks

Date	Event	Conference	Role	Title	Links
Dec 3, 2019	PyData Los Angeles 2019	PyData	speaker	Gradient Boosting for data with both numerical and text features Some problems contain different types of data, including numerical, categorical and text data. CatBoost is the first Gradient Boosting library to have text…Show less Some problems contain different types of data, including numerical, categorical and text data. CatBoost is the first Gradient Boosting library to have text features support out-of-the box.
Jul 12, 2019	PyData London 2019	PyData	tutorial	Mastering Gradient Boosting with CatBoost Gradient boosting is a powerful machine-learning technique that achieves state-of-the-art results in a variety of practical tasks. This tutorial will explain…Show less Gradient boosting is a powerful machine-learning technique that achieves state-of-the-art results in a variety of practical tasks. This tutorial will explain details of using gradient boosting on practice, we will solve a classification problem using popular GBDT library CatBoost.

Frequent co-speakers

Speaker	Shared events	Shared talks	Last together
James Powell	2	—	2019

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.