Guillaume Saupin
General engineer and doctor in applied mathematics, passionate about mathematics and the Lisp language, Guillaume worked for ten years as a researcher at CEA.
He joined the world of artificial intelligence and start-ups in 2010. He taught Computer Graphics and HPC in master at Paris 12 University and at Epitech.
Currently CTO of Verteego, he is also the author of more than thirty articles and regularly publishes on Data Science in Toward Data Science.
In 2022, he published a book on Gradien tBoosting methods for Machine Learning with ENI and will publish a second book in February 2023 with Dunod.
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Gradient Boosting - Exploitez les arbres de décision pour le Machine Learning (XGBoost, CatBoost, Li: Exploitez les arbres de décision pour le Machine Learning (XGBoost, CatBoost, LightGBM)
Guillaume SAUPIN
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Practical Gradient Boosting: An deep dive into Gradient Boosting in Python
Saupin, Dr Guillaume
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