Machine Learning Street Talk (MLST) cover image

How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)

Machine Learning Street Talk (MLST)

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Exploring Causal Relationships and Abstraction in Systems

This chapter examines the intricacies of testing causal relationships in real-world scenarios, highlighting the challenges of creating accurate models. It also discusses the importance of adaptive abstractions in navigating complex environments, emphasizing their role in robotics and cognitive processes.

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