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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

Many key data science tasks are about decision-making. They require understanding the causes of an event and how to take action to improve future outcomes. Machine learning (ML) models rely on correlational patterns to predict the answer to a question but often fail at these decision-making tasks, as the very decisions and actions they drive […]

2020年12月3日

Causal Inference Tutorial

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

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

2020年11月1日

S Bottani & P Lee- Applying Causal Inference in Industry 4.0: A Case Study from Glasswool Production

S Bottani & P Lee- Applying Causal Inference in Industry 4.0: A Case Study from Glasswool Production

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Netesh & Nazlı Alagöz - Causal Inference Framework for incrementality | PyData Amsterdam 2025

Netesh & Nazlı Alagöz - Causal Inference Framework for incrementality | PyData Amsterdam 2025

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

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

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Causal deep learning: a new framework // van der Schaar Lab

Causal deep learning: a new framework // van der Schaar Lab

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Data science tutorial: causal inference model selection | Jonathan Hershaff

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Causal Inference Methods

Causal Inference with Survey Data Online Class | LinkedIn Learning, formerly Lynda.com

Causal Inference with Survey Data Online Class | LinkedIn Learning, formerly Lynda.com

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Machine learning can use causal inference to make sense of data and to improve robustness and generalizability of models. In an on-demand webinar with Amit Sharma and Emre Kiciman, find out how to start with causal inference in your work. Register now: https://aka.ms/AAaj77n | Microsoft Research

Machine learning can use causal inference to make sense of data and to improve robustness and generalizability of models. In an on-demand webinar with Amit Sharma and Emre Kiciman, find out how to start with causal inference in your work. Register now: https://aka.ms/AAaj77n | Microsoft Research

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Sriram Sankararaman | New approaches for causal inference from genomic data | CGSI 2025 – CGSI

Sriram Sankararaman | New approaches for causal inference from genomic data | CGSI 2025 – CGSI

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

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Causal deep learning: a new framework // van der Schaar Lab

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vanderschaar-lab.com

Data science tutorial: causal inference model selection | Jonathan Hershaff

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已浏览 7955 次4 周前

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

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Machine Learning and AI Foundations: Causal Inference and Modeling Online Class | LinkedIn Learning, formerly Lynda.com

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