DR. JEFF BECK - THE BAYESIAN BRAIN
Machine Learning Street Talk (MLST)
00:00
Understanding Bayesian Modeling and Its Implications
This chapter explores the principles and significance of Bayesian modeling in empirical inquiry, focusing on its role in managing uncertainty and decision-making. It discusses challenges in model selection and the idea of active inference, highlighting the dynamic relationship between models and real-world environments. The conversation further examines the complexities of understanding probabilistic knowledge, the nuances of reasoning in language models, and the essence of scientific inquiry beyond absolute truths.
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