Azure Machine Learning documentation

Get started with machine learning

Tutorial

• Python notebooks
• AutoML (no code/low-code)
• Designer (drag & drop)
• RStudio

Bring your ML model to Azure

How-To Guide

• Deploy your local model to the cloud

Use AutoML or drag & drop in studio

Overview

• What's automated machine learning (AutoML)?
• What's the designer (drag & drop)?
• How to choose an algorithm

Tutorial

• AutoML: build a classification model
• The designer: predict auto prices
• Label images for classification

MLOps: Deploy & manage models

How-To Guide

• What is MLOps?
• How & where to deploy
• Realtime prediction
• Batch prediction
• MLOps examples repository

Train with the Python SDK

Tutorial

• Create your first ML experiment
• Predict taxi fares with AutoML
• Create Azure ML pipelines
• Classify images

How-To Guide

• Set up your environment
• Train Scikit-learn models
• Train TensorFlow models
• Train PyTorch models
• Train Keras models
• What are ML pipelines?

Go to reference docs

Reference

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