Azure Machine Learning Documentation
Learn how to build intelligent algorithms into apps and websites using these Azure Machine Learning products. Tutorials, quickstarts, API references, and examples show you how.
Azure Machine Learning service (preview)
Learn how this service empowers data scientists to develop and manage AI solutions using the CLI and Python tools and libraries with a variety of Azure data and compute services. Learn more...
Azure Machine Learning Studio
Learn how this collaborative, drag-and-drop tool can be used to build, test, and deploy predictive analytics solutions on your data. Learn more...
Quickstarts and Tutorials
Learn how to quickly set up and use Azure Machine Learning service (preview) and Studio:
|Get started with the service|
|Prepare data for modeling|
|Build your own machine learning model|
|Automatically generate and tune algorithms|
|Deploy your model as a web service|
|Consume your machine learning models|
|Build, optimize, and manage your ML pipelines|
Other Microsoft Machine Learning Technologies
APIs that supply intelligent algorithms for your apps, websites, and bots.
Batch AI Training
Managed service that helps you experiment in parallel with your AI models using any framework, and then trains them at scale across clustered GPUs.
SQL Server Machine Learning Services
In-database analytics with support for both R and Python.
Microsoft Machine Learning Server
Flexible enterprise machine learning platform, supporting R and Python deployments on Windows, Linux, and HDInsight Spark and Hadoop clusters.
Team Data Science Process
A collaborative data science methodology that helps teams deliver predictive analytics solutions and intelligent applications efficiently.
Data Science Virtual Machine
Experiment without installing or configuring software using the Data Science (DSVM) and Deep Learning (DLVM) virtual machines. Popular data analytics, machine learning and AI tools are preinstalled.