Accelerate ML projects with AWS Machine Learning & Data Services from AWS Marketplace
Trying an ML model from AWS Marketplace is really easy. AWS Marketplace models have a “Try product demo” feature that lets you try third-party machine learning models from AWS Marketplace in matter of minutes. This video walks you through the process of exploring the AWS Marketplace catalog and trying out an ML model.
Try the feature on GluonCV YOLOv3 Object Detector Model here – https://amzn.to/3fNrbd0
Explore ML models from AWS Marketplace at – https://amzn.to/38Rwxl2
View a video playlist on AWS Marketplace for machine learning at – https://bit.ly/3iVyPnI
Read a blog post that gives you a walkthrough of the process of deploying an ML model using Amazon SageMaker at – https://amzn.to/3fMWQvj
See sample Jupyter notebooks you can use to try ML Models at – https://bit.ly/39d7WXW
Insufficient enterprise AI adoption often happens due to lack of time, data, and skills required to develop ML models for solving your business problems. In this session, learn how pretrained ML models—available in AWS Marketplace and deployed with Amazon SageMaker—can help you quickly add new ML features in your applications and enable you to prove the value of powering your applications with AI to your leadership. Learn how to explore, test, deploy, and integrate ML models securely in your existing production application.
#aws #awsmarketplace #cloudguru
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