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The 10 most viewed blog posts of 2024 Large language models remained a hot topic, but posts about cryptography and automated reasoning also drew readers. Staff...
Time series forecasting is essential for decision making across industries such as retail, energy, finance, and health care. However, developing accurate machine-learning-based forecasting models has traditionally...
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...
Recommendation systems, naturally, tend to recommend products that have proved popular over time — whether in general or among customers with particular taste profiles. But popularity-based...
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 project,...
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. Trying to encode...
Time series forecasting and graph representations of data are both major topics of research at Amazon: time series forecasting is crucial to both supply chain optimization...
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...
The quantile function is a mathematical function that takes a quantile (a percentage of a distribution, from 0 to 1) as input and outputs the value...
Given observed time series and a target time series of interest, can we identify the causes of the target, without excluding the presence of hidden time...