Visit Website
Updates on December 26, 2023
(0 user reviews)
Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.
Amazon SageMaker is a fully managed service that allows users to build, train, and deploy machine learning (ML) models for any use case. It provides fully managed infrastructure, tools, and workflows to enable more people to innovate with ML.
Features
- A choice of tools for data scientists and business analysts.
- Ability to access, label, and process large amounts of structured and unstructured data for ML.
- Reduced training time from hours to minutes with optimized infrastructure.
- Up to 10 times increase in team productivity with purpose-built tools.
- Automated and standardized MLOps practices and governance across organizations to support transparency and auditability.
Use Cases
- Business analysts can make ML predictions using a visual interface with SageMaker Canvas.
- Data scientists can prepare data and build, train, and deploy models with SageMaker Studio.
- ML engineers can deploy and manage models at scale with SageMaker MLOps.
Amazon SageMaker also supports the leading ML frameworks, toolkits, and programming languages. It is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and voice-assisted devices.
People Also Viewed
PowerMode AI
Idea-to-slides, in seconds
Prototyper
Transform ideas into code effortlessly with AI-driven prototyping, collaboration, and versatile framework support.
Namelix
Generate short, brandable business names & domain names.
Tome
Unlock your best work with AI-powered generative storytelling from Tome.
Sidekick
Convenient macOS tool for accessing ChatGPT, a conversational AI system.
Get Featured! 🚀
Feature your AI brand at the top of our homepage for 7 days! Exclusive sponsorship for AI tools, platforms, and applications.
Get Featured NowPromote Amazon Sage Maker
