Accelerate Machine Learning Pipelines Using a Modern Data Architecture | Amazon Web Services

9 Views
Published
In this video, you'll see how you can accelerate machine learning (ML) pipelines using a modern data architecture. With this approach, you can easily integrate ML services into data analytics pipelines, leverage visual tooling to lower the entry barrier for creating and orchestrating pipelines, and quickly generate and visualize forecasts against custom datasets.

Learn more at:
https://go.aws/3J6GR9o
https://bit.ly/3HJifnf
https://go.aws/3Hvk2Mu
https://go.aws/3dZAqq7

Subscribe:
More AWS videos - http://bit.ly/2O3zS75
More AWS events videos - http://bit.ly/316g9t4

ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.

#AWS #AmazonWebServices #CloudComputing #ModernDataArchitecture #MachineLearning #SageMaker #Data Prediction
Category
Amazon Web Services
Tags
AWS, Amazon Web Services, Cloud
Be the first to comment