The Story Behind Bayesian Networks

Author(s): Felipe Sanchez Garzón

Originally published on Towards AI.

Photo by Museums Victoria on Unsplash

Let’s go back in time, almost a century ago. Picture a scientist named Sewall Wright, who was about to drop a bombshell on the world of science. You see, back in the day, everyone held the belief that “correlation does not imply causation” as gospel. But Wright, he was a bit of a rebel. He said, “Hey, maybe in some cases, correlation does imply causation!” And you know what? He was onto something.

With the knowledge of Genetics of his time and statistical insights, Wright began to build what we now call “influence diagrams”. His work… Read the full blog for free on Medium.

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Published via Towards AI