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A Guide to Inferencing With Bayesian Network in Python

Bayesian networks can model nonlinear, multimodal interactions using noisy, inconsistent data. It has become a prominent tool in many domains despite the fact that recognizing the structure of these networks from data is already common. For...

Study finds strong evidence for a causal link between long-term exposure to fine air particles and greater mortality in elderly Americans

A new analysis of 16 years of publicly accessible health data on 68.5 million Medicare enrollees provides broad evidence that long-term exposure to fine particles in the air – even at levels below current EPA standards – leads to increased...

AI Needs More Why

The father of Bayesian networks and probabilistic reasoning, Judea Pearl, published his Book of WHY: The New Science of Cause and Effect last year to suggest that the future of AI depends on building systems with notions of causality. It may seem obvious...

Causal vs. Statistical Inference

Why is correlation not enough, or is correlation enough? The question bugging the scientific community for a century. A machine learning view on the subject. Causal inference, or the problem of causality in general, has received a lot of attention in...

Review: ‘The Book of Why’ Examines the Science of Cause and Effect

“The Book of Why” charts the recent history of a subject that has preoccupied philosophers at least since Aristotle.Credit…Basic Books By Jonathan A. Knee Everyone knows that the cock’s crowing at dawn does not “cause” the sun to rise....

An AI Pioneer Wants His Algorithms to Understand the ‘Why’

Deep learning is good at finding patterns in reams of data, but can’t explain how they’re connected. Turing Award winner Yoshua Bengio wants to change that. “It’s a big thing to integrate [causality] into AI,” says University...

Introducing DoWhy

The human mind has a remarkable ability to associate causes with a specific event. From the outcome of an election to an object dropping on the floor, we are constantly associating chains of events that cause a specific effect. Neuropsychology...