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Intro
This chapter explores the complexities of assessing performance improvements with consistent benchmark datasets in machine learning. A guest machine learning scientist shares insights from his transition from civil engineering to time series modeling, discussing their collaborative work on deep generative models and time series forecasting at Amazon AI Labs.