[PyData] Crunching Your Data with CatBoost - the New Gradient Boosting Library - Vasily Ershov

PyData NYC 2018 A comprehensive tutorial on CatBoost (http://catboost.ai), a new open-source gradient boosting library, that outperforms existing publicly available implementations of gradient boosting in terms of quality, has the fastest applier algorithm and the fastest GPU training of all publicly available GBDT implementations. === www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.