Season 1: The Book of Why
What do Sherlock Holmes and artificial intelligence have in common? Both rely on evidence to reach conclusions, but only one truly understands why things happen. In this episode, we dive into the logic of inference, exploring how the Reverend Thomas Bayes and the principles of probability laid the groundwork for reasoning from effect to cause. From medical diagnoses to forensic science, we examine how Bayesian networks help us navigate uncertainty—and why causal inference remains the missing piece in today’s AI revolution.
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