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Data science tutorial: causal inference model selection | Jonathan Hershaff

Data science tutorial: causal inference model selection | Jonathan Hershaff

Like hyper-parameter tuning, model selection techniques are commonplace in machine learning but often overlooked in the causal inference space. I've sat in plenty of seminars with data scientists who had a time series and a limited set of treated units who chose a model and went with it without testing alternatives. This can have important ...

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Causal Inference Tutorial

New approaches for causal inference from genomic data

New approaches for causal inference from genomic data

UNICEF webinar: Overview: strategies for causal inference - Resource

UNICEF webinar: Overview: strategies for causal inference - Resource

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Causal inference, the DoWhy library, and impacts for machine learning

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Foundations of causal inference and its impacts on machine learning webinar

Foundations of causal inference and its impacts on machine learning webinar

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Machine Learning for Causal Effects | Online Course | Statistical Horizons

Machine Learning for Causal Effects | Online Course | Statistical Horizons

statisticalhorizons.com

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Frontiers in Machine Learning: Big Ideas in Causality and Machine Learning

Frontiers in Machine Learning: Big Ideas in Causality and Machine Learning

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DoWhy: An End-to-End Library for Causal Inference

DoWhy: An End-to-End Library for Causal Inference

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The Seven Tools of Causal Inference, with Reflections on Machine Learning

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Foundations of causal inference and its impacts on machine learning w…

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Frontiers in Machine Learning: Big Ideas in Causality and Machine Learning

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Research talk: Causal ML and business

Research talk: Causal ML and business

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Causal inference, the DoWhy library, and impacts for machine learning

Causal inference, the DoWhy library, and impacts for machine learning

已浏览 7.7万次2020年12月4日

FacebookMicrosoft Research

Lecture 14: Causal Inference, Part 1 | Machine Learning for Healthcare | Electrical Engineering and Computer Science | MIT OpenCourseWare

Lecture 14: Causal Inference, Part 1 | Machine Learning for Healthcare …

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Understanding Causality Is the Next Challenge for Machine Learning

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Interpretable Machine Learning & Causal Inference Workshop

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