Azure Machine Learning documentation

Get started with Azure ML

Tutorial

• Experiment in Python notebooks
• Experiment in RStudio
• Experiment using drag & drop designer
• Experiment with automated ML

Overview

• What is Azure ML?
• Architecture and concepts

How-To Guide

• Set up your environment
• Set up training compute targets

Experiment: Python SDK

Tutorial

• Create your first ML experiment
• Classify images
• Predict taxi fares with automated ML

How-To Guide

• Train with Scikit-learn
• Train with TensorFlow
• Train with PyTorch
• Train with Keras

Use ML Pipelines

Overview

• What are ML pipelines?
• The 'drag-n-drop' designer

Tutorial

• Linear regression to predict prices (designer)
• Create ML pipelines (Python SDK)

How-To Guide

• Scheduling pipelines (Python SDK)
• Predict delays (designer)
• Predict churn (designer)

Deploy & manage models

How-To Guide

• What is MLOps?
• How & where to deploy
• Authentication
• Realtime prediction
• Batch prediction
• End-to-end examples (GitHub)

Go to reference docs

Reference

• SDK for Python
• SDK for R
• Machine learning CLI
• Designer algorithms & modules
• REST API
• AI reference architectures (GitHub)