Architecture Best Practices for Machine Learning
Last updated: September 2021
Browse best practices for quickly and easily building deep learning architectures, and building, training, and deploying machine learning (ML) models at any scale.
Learn how to evaluate ML workloads against best practices and identify areas for improvement with the Machine Learning Lens - AWS Well-Architected Framework.
Featured Content
Getting Started
- Tutorial: Create a Machine Learning Model Automatically
- Training: Machine Learning University
- Training: Getting Started with AWS Machine Learning
ML in Practice
- Reference Architecture Diagram: Build Your Own Anomaly Detection ML Pipeline
- Whitepaper: Build a Secure Enterprise Machine Learning Platform on AWS
- Reference Architecture Diagram: Run Machine Learning Algorithms with Satellite Data
MLOps
- Well-Architected: Machine Learning Lens
- Workshop: Building Secure Data Science Environments
- Reference Implementation: AWS MLOps Framework
Fraud Detection Using Machine Learning
Discovering Hot Topics Using Machine Learning
AWS MLOps Framework
Most Popular
- Well-Architected: Machine Learning Lens
- Tutorial: Analyze Insights in Text with Amazon Comprehend
- Tutorial: Create a Machine Learning Model Automatically with Amazon SageMaker Autopilot
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