Time Series
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How applied math impacts forecasting at Amazon
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Danielle Maddix Robinson had been working at Amazon Web Services (AWS) for about a year and a half when the COVID-19 pandemic presented a type of ...

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Amazon at ICLR: Graphs, time series, and more
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Time series forecasting and graph representations of data are both major topics of research at Amazon: time series forecasting is crucial to both supply ...

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The science behind NFL Next Gen Stats’ new passing metric
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When football fans evaluate a player’s performance, they measure the player’s execution of specific plays against an innate sense of the player’s potential. ...

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Using data science to help improve NFL quarterback passing scores
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In any given month as a principal data scientist at Amazon Web Services (AWS), Elena Ehrlich might be working on time-series modeling, a computer vision ...

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Making deep learning practical for Earth system forecasting
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The Earth is a complex system. Variabilities ranging from regular events like temperature fluctuations to extreme events like drought, hailstorms, and the ...

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Ensuring that customers don’t miss out on trending products
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Recommendation systems, naturally, tend to recommend products that have proved popular over time — whether in general or among customers with particular ...

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How CloudTune generates forecasts for the Amazon Store
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On what are known as game days to teams inside Amazon, millions of virtual “customers” log on to the Amazon Store to search for items, browse product pages, ...

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Adapting language model architectures for time series forecasting
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Time series forecasting is essential for decision making across industries such as retail, energy, finance, and health care. However, developing accurate ...

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