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Causal inference is an important and active area of artificial intelligence research today. Indeed, no less than Turing award winner Yoshio Bengio lists causal reasoning as a top priority, as does his co-Turing award winner Yann LeCun, who writes that “Lots of people in ML/DL know that causal inference is an important way to improve […]
An Alternate Formulation for Causal Inference Research Read More »
In artificial intelligence, machine learning, decision intelligence, statistics, and science, we use the word “decision” to mean a lot of things. Let’s tease out some distinctions: Decision TypeNameQuestion answeredPrimary information SourceTypical success criterionTypical methodAML classification“Decisions That”: “What is this picture?” “What disease does this person have?” “Is this a cat?”DataTrue positive, true negativeSupervised learningBML regression“Decision
Understanding what we mean by “Decision” in ML/AI/DI Read More »
