How United Airlines built a cost-efficient Optical Character Recognition active learning pipeline | Amazon Web Services
Source Node: 1892384
Time Stamp: Sep 21, 2023
Amazon ML Solutions Lab
Optimize equipment performance with historical data, Ray, and Amazon SageMaker | Amazon Web Services
Source Node: 1886400
Time Stamp: Sep 7, 2023
How Carrier predicts HVAC faults using AWS Glue and Amazon SageMaker | Amazon Web Services
Source Node: 1885598
Time Stamp: Sep 5, 2023
How Light & Wonder built a predictive maintenance solution for gaming machines on AWS | Amazon Web Services
Source Node: 1850995
Time Stamp: Jun 22, 2023
Use the AWS CDK to deploy Amazon SageMaker Studio lifecycle configurations | Amazon Web Services
Source Node: 1850646
Time Stamp: Jun 21, 2023
Implement a multi-object tracking solution on a custom dataset with Amazon SageMaker | Amazon Web Services
Source Node: 1842810
Time Stamp: Jun 1, 2023
Predicting new and existing product sales in semiconductors using Amazon Forecast
Source Node: 1822625
Time Stamp: Apr 6, 2023
How Kakao Games automates lifetime value prediction from game data using Amazon SageMaker and AWS Glue
Source Node: 1808845
Time Stamp: Mar 1, 2023
Identifying defense coverage schemes in NFL’s Next Gen Stats
Source Node: 1801325
Time Stamp: Feb 10, 2023
Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS
Source Node: 1798464
Time Stamp: Feb 2, 2023
Set up Amazon SageMaker Studio with Jupyter Lab 3 using the AWS CDK
Source Node: 1788281
Time Stamp: Jan 17, 2023
Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1
Source Node: 1786994
Time Stamp: Jan 13, 2023
Power recommendations and search using an IMDb knowledge graph – Part 3
Source Node: 1784123
Time Stamp: Jan 6, 2023
Power recommendations and search using an IMDb knowledge graph – Part 2
Source Node: 1775417
Time Stamp: Dec 20, 2022
Power recommendation and search using an IMDb knowledge graph – Part 1
Source Node: 1775669
Time Stamp: Dec 20, 2022
Create Amazon SageMaker models using the PyTorch Model Zoo
Source Node: 1775145
Time Stamp: Dec 19, 2022
Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games
Source Node: 1719504
Time Stamp: Oct 5, 2022
Create high-quality data for ML models with Amazon SageMaker Ground Truth
Source Node: 1716947
Time Stamp: Oct 3, 2022
Large-scale revenue forecasting at Bosch with Amazon Forecast and Amazon SageMaker custom models
Source Node: 1683425
Time Stamp: Sep 23, 2022