Remove 2022 Remove Clean Data Remove Cross Validation
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Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

Flipboard

For the 2022 season, the NFL aimed to leverage player-tracking data and new advanced analytics techniques to better understand special teams. Models were trained and cross-validated on the 2018, 2019, and 2020 seasons and tested on the 2021 season.

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Identifying defense coverage schemes in NFL’s Next Gen Stats

AWS Machine Learning Blog

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. In this post, we deep dive into the technical details of this ML model.

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Types of Feature Extraction in Machine Learning

Pickl AI

Understanding techniques, such as dimensionality reduction and feature encoding, is crucial for effective data preprocessing and analysis. billion in 2022 and is projected to grow at a CAGR of 34.8% This process often involves cleaning data, handling missing values, and scaling features. from 2023 to 2030.