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Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

AWS Machine Learning

The player data was used to derive features for model development: X – Player position along the long axis of the field Y – Player position along the short axis of the field S – Speed in yards/second; replaced by Dis*10 to make it more accurate (Dis is the distance in the past 0.1 k10 Baseline 0 4.074 9.62 between the two distributions.

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Rule-Based Automation Is Out: Intelligent Automation Is In!

SmartKarrot

Interpret big data. Industries collect mounds and mounds of data in a single day. Even if an average human being works at maximum efficiency, it would be a task to siphon through and make sense of all boundless big data. Automotive industry. Applications of intelligent automation software. Life sciences.