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Juan Orduz

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Time Series forecasting with NumPyroPyData Amsterdam 20242024-09-18
Implements custom probabilistic time‑series in NumPyro that actually recover unseen demand using censoring likelihoods (switching forecasts from flat to upward…
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Introduction to Uplift ModelingPyCon DE & PyData Berlin 20222022-04-11
Introduces uplift modeling with concrete code and a reproducible notebook, shows how S-learner, T-learner and X-learner actually get trained and combined, and…
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On Laplacian Eigenmaps for Dimensionality ReductionPyData Berlin 20182018-07-06
Claim: eigenfunctions of the Laplace-Beltrami operator give a low‑dimensional embedding; algorithm: build a similarity graph with Gaussian or k‑NN weights…
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