
Episode 23: Statistical and Algorithmic Thinking in the AI Age
Vanishing Gradients
Everyone is Weird in Their Own Way
The Gaussian distribution is prevalent in measuring physical and psychological attributes due to the central limit theorem, resulting in most measurements following a bell curve. While the intuition is that being close to average is normal and being an outlier is weird, with multiple measurements, everyone is unusual in at least one way. This leads to everyone being weird and equally distant from the average, converging to a common distance. In a multivariate distribution, most probability density is located in a thin shell far from the origin, making it rare for individuals to be within one standard deviation of the mean on multiple measurements.
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