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Navigating Machine Learning Infrastructure
This chapter explores the experiences of two tech industry professionals as they discuss their backgrounds in machine learning and data infrastructure. They share insights on the evolution of machine learning systems at Airbnb, the challenges of deploying models, and the critical importance of effective data processing for real-time applications. Through their discussion, they illuminate the complexities of managing both structured and unstructured data, emphasizing the trade-offs between accuracy and latency in the context of fraud detection and content moderation.