Breakthroughs in Sequential Data
Zachary discusses the evolution of deep learning breakthroughs in sequential data analysis, particularly in medical time series and natural language processing. He explores the challenges of working with messy multivariate time series data and the implications for improving predictive models in clinical settings.In this clip
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