Ortal Dayan
Deep Learning Researcher| Adjacent Lecturer, Weizmann Institute
Tel Aviv, Israel
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Computer vision and deep learning researcher in the field of Explainable AI, Department of Computer Science and Applied Mathematics, Weizmann Institute of Science.
Lecturer of the course Applied Machine Learning for Life Sciences, Feinberg Graduate School, Weizmann Institute of Science.
Founder of WE-AI (Women and Everyone AI) organization aiming to bridge the gender gap in AI.
Graduate of Imperial College London, MEng.
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The Dark Art of Fine Tuning Ensemble Models of Trees for Tabular Data Sets
To date, ensemble models of trees are considered state-of-the-art for tasks on tabular datasets.
In this session, we will have an introduction to how ensemble models of trees improve performance and we will cover in detail the guidelines for Hyperparameter Tunning the best performing models for tabular datasets Random Forest, XGBoost, CATBoost and LightGBM including the differences between these models.
Data.TLV Summit 2024 Sessionize Event
Ortal Dayan
Deep Learning Researcher| Adjacent Lecturer, Weizmann Institute
Tel Aviv, Israel
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