tutorials

Azure Machine Learning Tutorials

Azure Machine Learning, a cloud-based environment you can use to train, deploy, automate, manage, and track ML models.

Azure Machine Learning can be used for any kind of machine learning, from classical ML to supervised, unsupervised, and deep learning.

This folder contains a collection of Jupyter Notebooks with the code used in accompanying step-by-step tutorials.

Set up your environment.

If you are using an Azure Machine Learning Notebook VM, everything is already set up for you. Otherwise, see the get started creating your first ML experiment with the Python SDK tutorial.

Introductory Samples

The following tutorials are intended to provide an introductory overview of Azure Machine Learning.

Tutorial	Description	Notebook	Task	Framework
Azure Machine Learning in 10 minutes	Learn how to create and attach compute instances to notebooks, run an image classification model, track model metrics, and deploy a model	quickstart	Learn Azure Machine Learning Concepts	PyTorch
Get Started (day1)	Learn the fundamental concepts of Azure Machine Learning to help onboard your existing code to Azure Machine Learning. This tutorial focuses heavily on submitting machine learning jobs to scalable cloud-based compute clusters.	get-started-day1	Learn Azure Machine Learning Concepts	PyTorch
Train your first ML Model	Learn the foundational design patterns in Azure Machine Learning and train a scikit-learn model based on a diabetes data set.	tutorial-quickstart-train-model.ipynb	Regression	Scikit-Learn
Train an image classification model	Train a scikit-learn image classification model.	img-classification-part1-training.ipynb	Image Classification	Scikit-Learn
Deploy an image classification model	Deploy a scikit-learn image classification model to Azure Container Instances.	img-classification-part2-deploy.ipynb	Image Classification	Scikit-Learn
Deploy an encrypted inferencing service	Deploy an image classification model for encrypted inferencing in Azure Container Instances	img-classification-part3-deploy-encrypted.ipynb	Image Classification	Scikit-Learn
Use automated machine learning to predict taxi fares	Train a regression model to predict taxi fares using Automated Machine Learning.	regression-part2-automated-ml.ipynb	Regression	Automated ML

Advanced Samples

The following tutorials are intended to provide examples of more advanced feature in Azure Machine Learning.

Tutorial	Description	Notebook	Task	Framework
Build an Azure Machine Learning pipeline for batch scoring	Create an Azure Machine Learning pipeline to run batch scoring image classification jobs	tutorial-pipeline-batch-scoring-classification.ipynb	Image Classification	TensorFlow

For additional documentation and resources, see the official documentation site for Azure Machine Learning.