#1 Bayes, open-source and bioinformatics, with Osvaldo Martin
Learning Bayesian Statistics
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Exploring the Intersection of Bioinformatics and Statistics
The chapter delves into the field of bioinformatics and its intersection with statistics and biology, discussing the historical background and application of data science in molecular biology. The speaker shares their journey of integrating statistics with physics, starting from challenges to persistence in learning, and recounts a pivotal moment in their career that led them to explore data analysis and Bayesian statistics. They also highlight the significance of the PIMC Python package for defining and solving Bayesian models, emphasizing clarity in syntax and the flexibility of Bayesian statistics.
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