Machine learning (ML) is designed to provide digital tools and services to learn from data, identify patterns, make predictions, and then act on those predictions. Almost all artificial intelligence (AI) systems today are created using ML. ML uses large amounts of data to create and validate decision logic. This decision logic forms the basis of the AI model.
Scenarios where AWS machine learning services may be applied include:
Specific use cases - AWS machine learning services can support your AI powered use cases with a broad range of pre-built algorithms, models, and solutions for common use cases and industries. You have a choice of 23 pre-trained services, including Amazon Personalize, Amazon Kendra, and Amazon Monitron. Customizing and scaling machine learning -Amazon SageMaker is designed to help you build, train, and deploy ML models for any use case. You can build your own or access open source foundational models on AWS through Amazon SageMaker and Amazon Bedrock.Accessing specialized infrastructure - Use the ML frameworks and infrastructure provided by AWS when you require even greater flexibility and control over your machine learning workflows, and are willing to manage the underlying infrastructure and resources yourself.
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AWS AI and Machine Learning User Guides Easily implement human review of ML predictions Scalable, open-source deep learning framework Access best-in-class foundation models to build generative AI applications Find your most expensive lines of code Build applications faster with the ML-powered coding companion Discover insights and relationships in text Detect and return useful information in unstructured clinical text Deep learning on Amazon EC2 Docker images for deep learning ML enabled musical keyboard Autonomous 1/18th scale race car, driven by ML Improve application availability with ML-powered cloud operations Deep learning inference acceleration Increase forecast accuracy using machine learning Detect more online fraud faster Manage medical imaging data Securely store, transform, query, and analyze health data in minutes Transform omics data into insights Reinvent enterprise search with ML Build voice and text chatbots Detect abnormal equipment behavior by analyzing sensor data Automatically detect anomalies in metrics and identify the root cause Spot product defects and automate quality inspection Learn about Amazon machine learning services Reduce unplanned equipment downtime with predictive maintenance and ML Improve your operations with computer vision at the edge Build real-time recommendations into your applications Turn text into life-like speech Analyze image and video Build, train, and deploy machine learning models at scale Extract text and data from documents Automatic speech recognition Natural and fluent language translation |
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