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Navigating Safety and Predictability in Machine Learning Systems
This chapter explores the challenges of ensuring safety and predictability in machine learning systems, emphasizing the non-deterministic nature of machine learning outputs and the need for thorough evaluation and expertise to mitigate risks. It discusses the complexities of using data for machine learning models and the critical importance of data formatting and understanding distribution for effective outcomes.