#16 Bayesian Statistics the Fun Way, with Will Kurt
Learning Bayesian Statistics
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Exploring the Journey from Haskell to Bayesian Statistics
The chapter follows the speaker's evolution from Haskell to R for data analysis, touching on their frustrations with Haskell's complexity and their transition towards practicality in solving real-world problems with R. It explores the importance of Bayesian statistics in their work, emphasizing the significance of thinking generatively about data, clarifying beliefs quantitatively through probabilities, and transitioning from classical statistical methods to Bayesian approaches for tasks like A/B testing.
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