2017, Cross Validation and Data Engineering

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2017

Cross Validation

Data Engineering

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

AWS Machine Learning Blog

SEPTEMBER 29, 2023

Our results reveal that the classification from the KNN model is more accurately representative of the state of the current crop field in 2017 than the ground truth classification data from 2015. In this example, we settle for the imperfect 2-year gap between the ground truth data and satellite imagery.

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. Advances in neural information processing systems 30 (2017). Michael Chi is a Senior Director of Technology overseeing Next Gen Stats and Data Engineering at the National Football League.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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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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