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

AWS Machine Learning

For more information on how to use GluonTS SBP, see the following demo notebook. Furthermore, we looked at the probability of a touchdown and probability plots to evaluate calibration. Models were trained and cross-validated on the 2018, 2019, and 2020 seasons and tested on the 2021 season. k10 Baseline 0 4.074 9.62

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Churn prediction using multimodality of text and tabular features with Amazon SageMaker Jumpstart

AWS Machine Learning

Healthcare and life sciences. Note that the probability returned by this model has not been calibrated. Calibration is a useful property in certain circumstances, but isn’t required in cases where discrimination between cases of churn and non-churn is sufficient. Demo notebook. Fraud detection. Computer vision.