Cross Validation, Data Engineering and K-nearest Neighbors

Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

SEPTEMBER 29, 2023

In this analysis, we use a K-nearest neighbors (KNN) model to conduct crop segmentation, and we compare these results with ground truth imagery on an agricultural region. The number of neighbors, a parameter greatly affecting the estimator’s performance, is tuned using cross-validation in KNN cross-validation.

Machine Learning

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Identifying defense coverage schemes in NFL’s Next Gen Stats

AWS Machine Learning Blog

FEBRUARY 10, 2023

Quantitative evaluation We utilize 2018–2020 season data for model training and validation, and 2021 season data for model evaluation. We design a K-Nearest Neighbors (KNN) classifier to automatically identify these plays and send them for expert review. Each season consists of around 17,000 plays.

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Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

Identifying defense coverage schemes in NFL’s Next Gen Stats

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