AmazonSageMaker
Amazon SageMaker is an AI-powered ML platform.
What is Amazon SageMaker?
This is a fully managed service from Amazon Web Services (AWS) that simplifies the end-to-end machine learning (ML) lifecycle. It provides data scientists and developers with a comprehensive suite of tools and capabilities to build, train, and deploy high-quality ML models quickly and at scale. SageMaker automates many of the complex and labor-intensive tasks involved in ML development, from data preparation and model training to deployment, monitoring, and governance.
Key Features:
- Unified Studio
- Data Preparation
- Model Building
- Model Training
- Model Deployment
- Model Monitoring
- ML Resource Orchestration
- Data and AI Governance
- MLOps Tools
- Built-in Algorithms
- Framework Support
- Autopilot
- Data Wrangler
- Clarify
- Augmented AI (A2I)
- JumpStart
Use Cases of Amazon SageMaker:
- Quality Control
- Predictive Maintenance
- Fraud Detection
- Customer Churn Prediction
- Personalized Recommendations
- Computer Vision Applications
- Natural Language Processing
- Financial Modeling
- Healthcare Analytics
- Retail Forecasting
Get Started
Explore AmazonSageMaker on the AWS website. Pricing details, including the AWS Free Tier and various billing options, can be found on their pricing page.
