Skip to content

Latest commit

 

History

History
 
 

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
Azure ML in 10 minutes, to be run on a Compute Instance Learn how to run an image classification model, track model metrics, and deploy a model in 10 minutes. AzureMLIn10mins.ipynb Image Classification Scikit-Learn
Get started with Azure ML Job Submission, to be run on a Compute Instance Learn how to use the Azure Machine Learning Python SDK to submit batch jobs. GettingStartedWithPythonSDK.ipynb Image Classification Scikit-Learn
Get started with Automated ML, to be run on a Compute Instance Learn how to use Automated ML for Fraud classification. ClassificationWithAutomatedML.ipynb Classification 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.

Impressions