Azure Machine Learning
AI GithubTags
Introduction
Azure Machine Learning is a cloud-based platform that enables data scientists and developers to build, train, deploy, and manage machine learning models. It offers a comprehensive suite of tools and services, including automated machine learning (AutoML), a visual designer, and support for popular open-source frameworks like TensorFlow, PyTorch, and scikit-learn. Azure Machine Learning simplifies the machine learning lifecycle, from data preparation to model deployment and monitoring, allowing users to focus on building innovative solutions.
How To Use
To use Azure Machine Learning, you typically start by creating a workspace in the Azure portal. Then, you can upload your data, choose a machine learning algorithm (or use AutoML to find the best one), train your model, and deploy it as a web service or to other Azure services. The platform provides a user-friendly interface and command-line tools for managing your machine learning projects.
Pricing
| Packages | Pricing | Features |
|---|---|---|
| Free Edition | Free | Unlimited public repositories, limited private repositories |
| Team Edition | $4/user/month | Unlimited private repositories, basic features |
| Enterprise Edition | $21/user/month | Advanced security and auditing features |
