#2 When should you use Bayesian tools, and Bayes in sports analytics, with Chris Fonnesbeck
Learning Bayesian Statistics
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Bayesian Methods in Sports Analytics
This chapter delves into the acceptance and challenges of Bayesian statistics in academia, with a particular focus on sports analytics, especially in baseball. It highlights the differences in data collection and analysis between baseball and soccer, addressing complexities in player contributions and decision-making processes. The conversation also emphasizes the growing relevance of Bayesian techniques and their intersection with machine learning across various scientific fields.
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