
S4E16 How do human brains inform “thinking” machines, with Dr. Thomas Parr
Invisible Machines podcast by UX Magazine
Data Compression in Machine Learning
This chapter explores the intricacies of data compression within machine learning frameworks, focusing on the interplay between different data environments. It highlights the importance of model accuracy and the cognitive load involved in processing complex information. The discussion also examines how expected free energy informs model performance, particularly in the predictive capabilities of AI systems in social media contexts.
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