2021, APIs, Calibration and Examples - Customer Contact Central

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2021

APIs

Calibration

Examples

Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games

AWS Machine Learning

OCTOBER 5, 2022

With PPT data from the 2020-2021 season, we built a model to predict the likelihood that a face-off is occurring at a specified location given the average distance of each team to the location and the velocities of the players. At the end, we found that the LightGBM model worked best with well-calibrated accuracy metrics.

Calibration

Calibration Engineering Automotive Analytics

Detection and high-frequency monitoring of methane emission point sources using Amazon SageMaker geospatial capabilities

AWS Machine Learning

OCTOBER 25, 2023

In 2021, the U.N. Given that the SearchRasterDataCollection API uses polygons or multi-polygons to define an area of interest (AOI), our approach involves expanding the point coordinates into a bounding box first and then using that polygon to query for Sentinel-2 imagery using SearchRasterDateCollection. future within reach.”

Calibration

Calibration Engineering APIs Government

Webinars

How to Optimize Call Monitoring: Automate QA and Elevate Customer Experience

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Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games

Detection and high-frequency monitoring of methane emission point sources using Amazon SageMaker geospatial capabilities

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