Do You Want To Build A Forest? || Thomas J Fan

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scikit-learn provides two popular ways to build tree ensembles: Gradient Boosting Decision Trees (GBDT) and Random Forests. In version 0.21, scikit-learn introduced its own Histogram-based GBDT inspired by LightGBM. In this talk, we will learn the underpinnings of GBDT and Random Forests, the differences between them, how each algorithm is optimized in scikit-learn, and how to interpret them.

EVENT:
PyData Austin 2019

SPEAKER:
Thomas J Fan

PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData talks

CREDITS:
PyData YouTube channel: https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7w

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Tags:
machine learning
artificial intelligence
forests
algorithm
data science