Flipboard

FEBRUARY 2, 2023

GluonTS is a Python package for probabilistic time series modeling, but the SBP distribution is not specific to time series, and we were able to repurpose it for regression. Models were trained and cross-validated on the 2018, 2019, and 2020 seasons and tested on the 2021 season. We used the SBP distribution provided by GluonTS.

Cross Validation 123

Cross Validation ML ML Machine Learning 123

AWS Machine Learning Blog

SEPTEMBER 29, 2023

The Amazon SageMaker Studio notebook with geospatial image comes pre-installed with commonly used geospatial libraries such as GDAL, Fiona, GeoPandas, Shapely, and Rasterio, which allow the visualization and processing of geospatial data directly within a Python notebook environment.

Machine Learning 129

Machine Learning Machine Learning ML ML 129

AWS Machine Learning Blog

OCTOBER 3, 2024

Steamlining model management and deployment with SageMaker Amazon SageMaker is a managed machine learning platform that provides data scientists and data engineers familiar concepts and tools to build, train, deploy, govern , and manage the infrastructure needed to have highly available and scalable model inference endpoints.

Data Science 86

Data Science AWS Machine Learning Machine Learning 86

The MLOps Blog

DECEMBER 7, 2022

Quick shout out to the amazing data engineering team at CTF Capital, they really poured their hearts and brains into this! With all of that, the model gets retrained with all the data and stored in the Sagemaker Model Registry. After that, a chosen model gets deployed and used in the model pipeline.

ML 52

ML ML AWS ETL 52