Thomas Bayes introduces a mathematical formula for determining conditional probability. This becomes the bedrock of machine learning algorithms, enabling AI to update probabilities as new data is acquired.
Part of the 30 Structural Foundations: The Enlightenment and Mathematical Logic Edition archive. HistoricallyVerified
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