Exploring Counterfactual Insights: From Correlation to Causation in Data Analysis
Picture this: A world where the sky takes on a serene shade of lemon yellow, birds have come to their senses and eloquently converse in fluent English, and where fruit trees defy gravity, displaying their deep lilac and electric purple leaves while offeri- 20638Murphy ≡ DeepGuide
You Can't Step in the Same River Twice
In my previous articles, we learned about confounders and colliders in observational data that hinder establishing reliable causal relationships. The solution Pearl provided is to draw causal diagrams and use the backdoor criterion to find the sets of con- 23112Murphy ≡ DeepGuide
ECCCos from the Black Box
Counterfactual explanations offer an intuitive and straightforward way to explain opaque machine learning (ML) models. They work under the premise of perturbing inputs to achieve a desired change in the predicted output. If you have not heard about counte- 28995Murphy ≡ DeepGuide
Counterfactuals in Language AI
with open source language models and LLMs- 29920Murphy ≡ DeepGuide
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Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag