
301 | Tina Eliassi-Rad on Al, Networks, and Epistemic Instability
Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas
Exploring Networks in Machine Learning
This chapter examines the foundational concepts of graphs and networks within the realm of machine learning, focusing on social interactions and relational dependencies. It discusses the challenges of personalizing content in an age of big data, highlighting the shortcomings of modern recommendation systems. Additionally, the chapter delves into the mathematical complexities of network analysis, emphasizing the importance of context and critical assessment in AI models.
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