Azure Machine Learning
Explore the documentation and resources for Azure Machine Learning, Microsoft's cloud-based machine learning service.
Getting Started
Azure Machine Learning provides a comprehensive set of tools and services for building, training, and deploying machine learning models. It supports a wide range of frameworks including TensorFlow, PyTorch, scikit-learn, and more. You can use Azure Machine Learning Studio, a web-based interactive development environment, to quickly prototype and develop your models. Azure Machine Learning supports both managed and unmanaged environments, allowing you to choose the best solution for your needs. Explore the various compute options available, including Azure Virtual Machines, Azure Kubernetes Service (AKS), and Azure Container Instances (ACI).
Key Features
- Automated Machine Learning (AutoML): Quickly build and deploy models with minimal effort.
- Designer: A visual interface for building pipelines.
- Compute Instances: Scalable compute resources for training and inference.
- Azure Kubernetes Service (AKS) Integration: Deploy models in a containerized environment.
- Azure Machine Learning Studio: Web-based interactive environment.
Resources
Check out the following resources for more information: