AWS helps you innovate with machine learning (ML) at scale with the most comprehensive set of ML services, infrastructure, and deployment resources. From the world’s largest enterprises to emerging startups, more than 100,000 customers have chosen AWS machine learning services to solve business problems and drive innovation.

探索 aws 上的机器学习（ml）的力量 – 利用最全面的服务和专用基础设施，发挥人工智能和机器学习的潜力

Earning AWS Certified Machine Learning Engineer - Associate validates your ability to build, deploy and maintain artificial intelligence (AI), machine learning (ML), and generative AI solutions on AWS Cloud. Learn more about this certification and AWS Training and Certification resources that can help you prepare for your exam.

You can get started with MxNet on AWS with a fully managed experience using Amazon SageMaker AI, a platform to build, train, and deploy ML models at scale. Or, you can use the AWS Deep Learning AMIss to build custom environments and workflows with MxNet as well as other frameworks including TensorFlow, PyTorch, Chainer, Keras, Caffe, Caffe2 ...

Amazon SageMaker AI is a fully managed machine learning (ML) service. With SageMaker AI, data scientists and developers can quickly and confidently build, train, and deploy ML models into a production-ready hosted environment.

AWS官方培训：在AWS training的官方网站，有一门课程叫 Exam Readiness: AWS Certified Machine Learning - Specialty 可以注册学习。 优点： 对于sagemaker的解释很清楚，包括模型的建立和整个调参的说明

2024年5月3日 · Pick the right ML services and frameworks to support your work. Help determine which AWS ML services are the best fit for your needs. At its most basic, 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.

2022年5月11日 · Get hands-on with machine learning using AWS AI Devices (i.e. AWS DeepLens, AWS DeepRacer, and AWS DeepComposer). Learn how to prepare, build, train, and deploy high-quality machine learning (ML) models quickly with Amazon SageMaker and learn object-oriented programming best practices.

2024年1月18日 · Explore key AWS Machine Learning services in depth. A beginner's guide to SageMaker, Lambda, Rekognition, and more, in an easy-to-understand format. Open in app

Grow your technical skills and learn how to apply machine learning (ML), artificial intelligence (AI), and deep learning (DL) to unlock new insights and value in your role. Learn to leverage the power of generative AI on the AWS. Through immersive simulations and 23 hands-on lab exercises.