Introduction to Azure Machine Learning Examples
The Azure Machine Learning examples repository is a comprehensive resource for anyone looking to explore and understand the various features and services offered by Azure Machine Learning (Azure ML). This repository is designed to provide users with a collection of examples and tutorials, making it easier to learn how to utilize Azure ML in practical scenarios.
About This Repository
At its core, the azureml-examples repository aims to guide users in leveraging Azure ML capabilities through practical examples. This includes everything from basic tutorials for beginners to more advanced examples for experienced users. The repository is divided into different sections to cater to a wide range of learning needs.
Getting Started
For newcomers to Azure ML, the repository offers structured tutorials specifically designed for the v2 Python SDK. These tutorials serve as a foundational introduction to the platform. Additionally, users are encouraged to consult the supplementary documentation to further enhance their understanding of Azure ML's functionalities.
SDKs
The repository is organized to support multiple programming languages through its SDKs:
-
Python SDK: In the
sdk/pythondirectory, users will find an extensive collection of examples tailored for the Azure ML Python SDK v2. These examples are ideal for Python developers looking to integrate machine learning capabilities into their projects. -
.NET SDK: The
sdk/dotnetfolder provides examples for developers working with the .NET framework, allowing them to utilize Azure ML in their applications. -
TypeScript SDK: For TypeScript developers, the
sdk/typescriptdirectory contains relevant examples to help them integrate Azure ML features into their projects.
Azure Machine Learning Extension for Azure CLI
For those interested in using Azure CLI, the cli/ directory offers a range of examples demonstrating how to use the Azure Machine Learning extension for Azure CLI. This includes submitting Azure ML jobs that run code written in different programming languages, such as R.
Supplementary Documentation
To complement the examples in the repository, several external resources are available:
- Azure Machine Learning Documentation provides a thorough overview of the platform's capabilities.
- AzureML Python SDK v2 Overview gives insights into the specific features of the Python SDK.
- Azure CLI ML extension v2 Overview explains the functionality of the Azure CLI extension for Azure ML.
Contributing
The azureml-examples project actively encourages contributions from the community. Those interested in contributing can find the necessary guidelines outlined in the contributing documentation.
Code of Conduct
The project adheres to the Microsoft Open Source Code of Conduct, ensuring a welcoming and respectful environment for all participants. Users are encouraged to familiarize themselves with the code of conduct to understand the standards expected within the project community.
This repository serves as a valuable tool for those looking to explore Azure ML, offering guidance, examples, and resources to facilitate learning and application development.