2017, Cross Validation 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. However, Landsat 8 lower-resolution imagery could have been used as a bridge between 2015 and 2017.

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 perform a five-fold cross-validation to select the best model during training, and perform hyperparameter optimization to select the best settings on multiple model architecture and training parameters.

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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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