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### YamlMime:YamlDocument
documentType: LandingData
title: Azure Machine Learning Documentation
metadata:
title: Azure Machine Learning Documentation – Tutorials, API reference | Microsoft Docs
description: Learn how to build intelligent algorithms into apps, websites, and bots so that they see, hear, speak, and understand your user needs through natural methods of communication. Tutorials, quickstarts, API references, and examples show you how.
services: machine-learning
author: j-martens
ms.service: machine-learning
ms.component: core
ms.tgt_pltfrm: na
ms.devlang: na
ms.topic: landing-page
ms.date: 10/31/2018
ms.author: jmartens
abstract:
description: Learn how to build intelligent algorithms into apps and websites using these Azure Machine Learning products. Tutorials, quickstarts, API references, and examples show you how.
sections:
- items:
- type: list
style: cards
className: cardsM
columns: 2
items:
- href: /azure/machine-learning/service/overview-what-is-azure-ml
html: <p>Learn how this service empowers data scientists to develop and manage AI solutions<br/> using the CLI and Python tools and libraries with a variety of Azure data and compute services. Learn more...</p>
image:
src: /azure/machine-learning/media/index/i_machine-learning.svg
title: Azure Machine Learning service (preview)
- href: /azure/machine-learning/studio/
html: <p>Learn how this collaborative, drag-and-drop tool can be used to build, test, and deploy predictive analytics solutions on your data. Learn more... &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p>
image:
src: /azure/machine-learning/media/index/machine-learning-studio.svg
title: Azure Machine Learning Studio
- title: Quickstarts and Tutorials
items:
- type: paragraph
text: 'Learn how to quickly set up and use Azure Machine Learning service (preview) and Studio:'
- type: table
style: dataMatrix
columns:
- image:
src: media/index/i_machine-learning.svg
- image:
src: media/index/machine-learning-studio.svg
rows:
- title: Get started with the service
values:
- href: /azure/machine-learning/service/quickstart-get-started
- href: /azure/machine-learning/studio/create-workspace
- title: Prepare data for modeling
values:
- href: /azure/machine-learning/service/how-to-data-prep
- href: /azure/machine-learning/studio/walkthrough-2-upload-data
- title: Build your own machine learning model
values:
- href: /azure/machine-learning/service/tutorial-train-models-with-aml
- href: /azure/machine-learning/studio/walkthrough-3-create-new-experiment
- title: Automatically generate and tune algorithms
values:
- href: /azure/machine-learning/service/tutorial-auto-train-models
- href:
- title: Deploy your model as a web service
values:
- href: /azure/machine-learning/service/tutorial-deploy-models-with-aml
- href: /azure/machine-learning/studio/walkthrough-5-publish-web-service
- title: Consume your machine learning models
values:
- href: /azure/machine-learning/service/how-to-consume-web-service
- href: /azure/machine-learning/studio/walkthrough-6-access-web-service
- title: Build, optimize, and manage your ML pipelines
values:
- href: /azure/machine-learning/service/concept-ml-pipelines
- href:
- title: Other Microsoft Machine Learning Technologies
items:
- type: list
style: cards
className: cardsM
columns: 2
items:
- href: /azure/cognitive-services/
html: <p>APIs that supply intelligent algorithms for your apps, websites, and bots.</p>
image:
src: /azure/machine-learning/media/index/cognitive-services.png
title: Cognitive Services
- href: /azure/batch-ai/
html: <p>Managed service that helps you experiment in parallel with your AI models using any framework, and then trains them at scale across clustered GPUs.</p>
image:
src: /azure/machine-learning/media/index/batch.png
title: Batch AI Training
- href: /sql/advanced-analytics/r/r-services
html: <p>In-database analytics with support for both R and Python.</p>
image:
src: /azure/machine-learning/media/index/logo_sql.png
title: SQL Server Machine Learning Services
- href: /machine-learning-server/
html: <p>Flexible enterprise machine learning platform, supporting R and Python deployments on Windows, Linux, and HDInsight Spark and Hadoop clusters.</p>
image:
src: /azure/machine-learning/media/index/ml-server.png
title: Microsoft Machine Learning Server
- href: /azure/machine-learning/team-data-science-process
html: <p>A collaborative data science methodology that helps teams deliver predictive analytics solutions and intelligent applications efficiently.</p>
image:
src: /azure/machine-learning/media/index/tdsp.png
title: Team Data Science Process
- href: /azure/machine-learning/data-science-virtual-machine/
html: <p>Experiment without installing or configuring software using the Data Science (DSVM) and Deep Learning (DLVM) virtual machines. Popular data analytics, machine learning and AI tools are preinstalled.</p>
image:
src: /azure/machine-learning/media/index/virtualmachine.svg
title: Data Science Virtual Machine