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5min chapter
715: Make Better Decisions with Data, with Dr. Allen Downey
Super Data Science: ML & AI Podcast with Jon Krohn
Exploring the Log Normal Distribution and Expertise Accumulation
This chapter explores the characteristics of the log normal distribution, contrasting it with other types of distributions like Gaussian, Student t, and Pareto. It also delves into how this distribution model aligns with real-world phenomena, such as adult weight distribution and skill development through compound growth, while examining the concept of outliers and expertise accumulation.
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