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confounding

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Model Perspective
Model Perspective
Sep 12, 2022 · Fundamentals

Unlocking Causal Reasoning: A Beginner’s Guide to Graphical Models

This article introduces causal graphical models as a language for reasoning about cause‑and‑effect, explains key concepts such as conditional independence, colliders, back‑door paths, confounding and selection bias, and shows how to identify and adjust for bias using simple visual examples.

causal inferencecausal reasoningconfounding
0 likes · 17 min read
Unlocking Causal Reasoning: A Beginner’s Guide to Graphical Models
DataFunSummit
DataFunSummit
Aug 10, 2021 · Artificial Intelligence

Challenges and Future Directions for Recommendation Systems: Benchmarks, Explainability, and Data Confounding

The article examines the rapid growth of recommendation systems, highlighting the need for industrial‑grade benchmarks, transparent explainability, and addressing algorithmic confounding caused by feedback loops, while discussing how these issues affect both users and content providers in the AI‑driven ecosystem.

AIDeep Learningbenchmark
0 likes · 12 min read
Challenges and Future Directions for Recommendation Systems: Benchmarks, Explainability, and Data Confounding