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Trevor Bye
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adding new tutorials
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‎articles/machine-learning/index.yml

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### YamlMime:YamlDocument
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abstract:
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abstract:
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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."
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documentType: LandingData
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metadata:
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metadata:
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author: j-martens
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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."
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ms.author: jmartens
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ms.topic: landing-page
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services: machine-learning
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title: "Azure Machine Learning Documentation – Tutorials, API reference | Microsoft Docs"
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sections:
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sections:
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className: cardsM
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columns: 2
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items:
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items:
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href: /azure/machine-learning/service/overview-what-is-azure-ml
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html: "<p>Learn how this service empowers data scientists to develop and manage AI solutions<br/> using the Azure CLI and Python tools and libraries with a variety of Azure data and compute services. Learn more...</p>"
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image:
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image:
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src: /azure/machine-learning/media/index/i_machine-learning.svg
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title: "Azure Machine Learning Service"
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style: cards
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type: list
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items:
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items:
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text: "Get set up and start using Azure Machine Learning service:"
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type: paragraph
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text: "<b>Quickstarts:</b>"
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type: paragraph
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items:
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html: "<a href=\"service/quickstart-run-cloud-notebook\">Run an experiment in the cloud</a> (no install required)"
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html: "<a href=\"service/quickstart-run-local-notebook\">Run an experiment using a local notebook server</a> (local SDK install)"
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html: "<a href=\"service/quickstart-run-local-notebook\">Run an experiment using a local notebook server</a> (local SDK install)"
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style: unordered
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type: list
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text: "<b>Tutorial: Train and deploy your first automated ML model in Azure portal:</b>"
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type: paragraph
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html: "<a href=\"service/tutorial-first-experiment-automated-ml\">Use automated machine learning to train and deploy your first classification model</a>"
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style: unordered
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type: list
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text: "<b>Tutorial: Train your first ML model with SDK:</b>"
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type: paragraph
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html: "Part 1: <a href=\"service/tutorial-1st-experiment-sdk-setup\">Setup environment and workspace</a>"
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html: "Part 2: <a href=\"service/tutorial-1st-experiment-sdk-train\">Train your first model</a>"
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style: unordered
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type: list
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text: "<b>Tutorial: Train and deploy first experiment using visual interface:</b>"
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type: paragraph
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html: "Part 1: <a href=\"service/ui-tutorial-automobile-price-train-score\">Train regression model</a>"
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html: "Part 2: <a href=\"service/ui-tutorial-automobile-price-deploy\">Deploy the model</a>"
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style: unordered
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type: list
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text: "<b>Tutorial: Image classification of MNIST data with SDK:</b>"
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type: paragraph
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html: "Part 1: <a href=\"service/tutorial-train-models-with-aml\">Train your own model</a>"
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html: "Part 2: <a href=\"service/tutorial-deploy-models-with-aml\">Deploy that model</a>"
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style: unordered
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type: list
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text: "<b>Tutorial: Predict taxi trip fare using SDK:</b>"
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type: paragraph
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html: "Part 1: <a href=\"service/tutorial-data-prep\">Prepare data for modeling</a>"
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html: "Part 2: <a href=\"service/tutorial-auto-train-models\">Let automated ML train models for you</a>"
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style: unordered
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text: "<b>Tutorial: Predict automobile price using visual interface:</b>"
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type: paragraph
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html: "Part 1: <a href=\"service/ui-tutorial-automobile-price-train-score\">Predict automobile price</a>"
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html: "Part 2: <a href=\"service/ui-tutorial-automobile-price-deploy\">Deploy the regression model</a>"
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style: unordered
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type: list
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text: "<b>Consume your models:</b>"
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type: paragraph
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html: "<a href=\"service/how-to-consume-web-service\">Request-response model consumption</a>"
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html: "<a href=\"service/how-to-run-batch-predictions\">Batch predictions with ML pipelines</a>"
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style: unordered
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title: "Quickstarts and tutorials"
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className: cardsM
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columns: 2
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href: /azure/cognitive-services/
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html: "<p>APIs that supply intelligent algorithms for your apps, websites, and bots.</p>"
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src: /azure/machine-learning/media/index/cognitive-services.png
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title: "Cognitive Services"
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href: /azure/machine-learning/studio/
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html: "<p>A collaborative, drag-and-drop tool to build, test, and deploy predictive analytics solutions on your data with R or Python. </p>"
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src: /azure/machine-learning/media/index/machine-learning-studio.svg
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title: "Azure Machine Learning Studio"
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href: /sql/advanced-analytics/r/r-services
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html: "<p>In-database analytics with support for both R and Python.</p>"
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src: /azure/machine-learning/media/index/logo_sql.png
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title: "SQL Server Machine Learning Services"
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href: /machine-learning-server/
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html: "<p>Flexible enterprise machine learning platform, supporting R and Python deployments on Windows, Linux, and HDInsight Spark and Hadoop clusters.</p>"
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title: "Microsoft Machine Learning Server"
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href: /azure/machine-learning/team-data-science-process
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html: "<p>A collaborative data science methodology that helps teams deliver predictive analytics solutions and intelligent applications efficiently.</p>"
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src: /azure/machine-learning/media/index/tdsp.png
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title: "Team Data Science Process"
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href: /azure/machine-learning/data-science-virtual-machine/
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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>"
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src: /azure/machine-learning/media/index/virtualmachine.svg
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title: "Data Science Virtual Machine"
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style: cards

‎articles/machine-learning/service/index.yml

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description: Azure Machine Learning service provides SDKs and services to quickly prep data, train, and deploy machine learning models. Improve productivity and costs with autoscaling compute & pipelines. Use these capabilities with open-source Python frameworks, such as PyTorch, TensorFlow, and scikit-learn. Get started with our quickstarts and tutorials.
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aside:
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image:
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height: 130
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src: media/index/video.png
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title: Watch video (9:58)
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href: https://channel9.msdn.com/Events/Connect/Microsoft-Connect--2018/D240/
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sections:
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- title: 5-Minute Quickstarts
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- html: 'Get started: <a href="tutorial-first-experiment-automated-ml">Train and deploy</a> your first automated ML model in Azure portal.'
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- html: 'Get started: <a href="tutorial-1st-experiment-sdk-setup">Setup dev environment</a> and <a href="tutorial-1st-experiment-sdk-train">train your first ML model</a> using a Jupyter notebook (<b>two-part series</b>).'
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- html: 'Get started: <a href="ui-tutorial-automobile-price-train-score">Train</a> and <a href="ui-tutorial-automobile-price-deploy">deploy</a> your first ML experiment with the drag-n-drop visual interface (<b>two-part series</b>).'
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- html: <a href="tutorial-train-models-with-aml">Train</a> and <a href="tutorial-deploy-models-with-aml">deploy</a> image classification models (<b>two-part series</b>).
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- html: <a href="tutorial-data-prep">Prep data</a> and <a href="tutorial-auto-train-models">use automated machine learning</a> to train & tune regression models (<b>two-part series</b>).
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- html: <a href="ui-tutorial-automobile-price-train-score">Predict automobile price</a> with the visual interface and <a href="ui-tutorial-automobile-price-deploy">deploy</a> the regression model.
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text: 'Find <a href="samples-notebooks">Jupyter notebooks</a> to help you explore the service on Github.'
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- title: Reference
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- html: '<a href="https://aka.ms/aml-monitoring-sdk">Monitoring</a> Python SDK: collect data on deployed web services'
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- html: '<a href="../algorithm-module-reference/module-reference.md">Algorithm & module reference</a> for the visual interface'
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- html: '<a href="https://docs.microsoft.com/cli/azure/ext/azure-cli-ml/ml?view=azure-cli-latest">Azure ML CLI</a>: a machine learning command-line interface extension'
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- title: Other Azure Machine Learning technologies
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- title: Azure Machine Learning Studio
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href: /azure/machine-learning/studio/
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href: /azure/machine-learning/studio/
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- title: Data Science Virtual Machine
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href: /azure/machine-learning/data-science-virtual-machine/

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