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.
Quickstarts and tutorials
Learn how to quickly set up and use Azure Machine Learning service:
Quickstarts:
Image classification tutorial with MNIST data:
- Part 1: Train your own machine learning model
- Part 2: Deploy that model
Regression modeling tutorial with NYC taxi data:
Consume your models:
Other Microsoft machine learning technologies
Cognitive Services
APIs that supply intelligent algorithms for your apps, websites, and bots.
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...
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.