Amazon Web Services (AWS) offers various machine learning services and tools catering to multiple needs. Here is an overview:

1. Amazon SageMaker: A fully managed service that allows developers and data scientists to build, train, and deploy machine learning models quickly. It supports many popular machine learning algorithms and frameworks.
2. AWS DeepLens: A deep learning-enabled video camera designed for developers to run deep learning models on this device. It can be used for various vision-related tasks.
3. Amazon Comprehend is A natural language processing (NLP) service that uses machine learning to analyze and extract information like entities, sentiments, language, and key phrases from the text.
4. Amazon Rekognition: A service that makes adding an image and video analysis to your applications easy. It can identify objects, people, text, scenes, and activities in pictures and videos.
5. AWS DeepRacer: A 1/18th scale race car driven by reinforcement learning, a 3D racing simulator, and a global racing league.
6. Amazon Forecast: A fully managed service that uses machine learning to deliver highly accurate forecasts based on the same technology used by Amazon.com.
7. Amazon Personalize: This enables developers to build applications with the same recommendation technology used by Amazon.com, with real-time personalization and recommendations.
8. Amazon Lex: A service for building conversational interfaces into any application using voice and text.
9. Amazon Translate: A neural machine translation service that delivers fast, high-quality, and affordable language translation.
10. Amazon Polly: A service that turns text into lifelike speech using deep learning.

AWS also offers various pre-trained models and support for popular frameworks like TensorFlow, Apache MXNet, and PyTorch, allowing developers and data scientists to build and scale their machine-learning applications.