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Olivier Grisel

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Prediction intervalsPyData Paris 20252025-09-30
Covers concrete methods and code: training ensemble of quantile regressors (scikit‑learn, XGBoost, PyTorch), reducing probabilistic regression to binning +…
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Handling predictive uncertainty in Machine LearningPyData Paris 20242024-09-25
Shows concrete recipes: use scikit-learn probabilities, score models with log loss and Brier score (strictly proper scoring rules) and tune hyperparameters to…
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Predictive survival analysis with scikit-learn, scikit-survival and lifelinesPyData Global 20232023-12-06
Predictive survival methods get specific: code runs in a JupyterLite notebook, the demo uses scikit-learn preprocessing, the lifelines Kaplan‑Meier estimator…
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Neural Networks for Recommender SystemsdotAI 20172017-04-25
Claims that neural nets reproduce and extend classic methods: matrix factorization = dot product of embeddings and replacing the dot with an MLP yields more…
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Predictive modelling with PythonPyData Berlin 20162016-05-20
PyData Berlin 2016 www.pydata.org PyData is a gathering of users and developers of data analysis tools in Python. The goals are to provide Python enthusiasts…
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