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articles/machine-learning/index.yml

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@@ -5,7 +5,7 @@ summary: Learn how to use Azure Machine Learning to train, deploy, and manage ma
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metadata:
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title: Azure Machine Learning documentation
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description: Learn how to use Azure Machine Learning to train, deploy, and manage machine learning models and pipelines at scale. Tutorials, code examples, API references, and more show you how.
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description: Learn how to use Azure Machine Learning to train, deploy, and manage machine learning models, automl experiments, and pipelines at scale. Tutorials, code examples, API references, and more show you how.
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services: machine-learning
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ms.service: machine-learning
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ms.collection: collection
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author: j-martens
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ms.author: jmartens
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ms.date: 03/18/2020
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ms.date: 04/22/2020
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# linkListType: architecture | concept | deploy | download | get-started | how-to-guide | learn | overview | quickstart | reference | tutorial | video | whats-new
2020

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url: tutorial-1st-experiment-sdk-setup.md
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- text: The designer (drag & drop)
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url: tutorial-designer-automobile-price-train-score.md
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- text: Auto ML (no code/low-code)
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url: tutorial-first-experiment-automated-ml.md
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- text: RStudio
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url: tutorial-1st-r-experiment.md
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- text: Auto ML
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url: tutorial-first-experiment-automated-ml.md
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# Studio
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- title: 'Use the studio web experience'
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linkLists:
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- linkListType: tutorial
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links:
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- text: Build a classification model with AutoML
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url: tutorial-first-experiment-automated-ml.md
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- text: Build regression models with the designer
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url: tutorial-designer-automobile-price-train-score.md
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- text: Create an image labeling project
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url: tutorial-labeling.md
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- linkListType: overview
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links:
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- text: What is Azure machine learning?
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url: overview-what-is-azure-ml.md
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- text: Architecture and concepts
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url: concept-azure-machine-learning-architecture.md
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- text: What is the drag & drop designer?
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url: concept-designer.md
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- text: What is automated machine learning?
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url: concept-automated-ml.md
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# PYTHON
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- title: 'Use the Python SDK'
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linkLists:
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- text: Train with Keras
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url: how-to-train-keras.md
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# Pipelines
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- title: 'Build ML pipelines'
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linkLists:
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- linkListType: tutorial
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links:
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- text: Create ML pipelines (Python)
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url: tutorial-pipeline-batch-scoring-classification.md
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- text: Linear regression to predict prices (designer)
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url: tutorial-designer-automobile-price-train-score.md
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- linkListType: overview
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links:
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- text: What are ML pipelines?
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url: concept-ml-pipelines.md
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- text: What is the designer?
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url: concept-designer.md
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# MLOps
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- title: Deploy & manage models
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linkLists:
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url: concept-model-management-and-deployment.md
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- text: How & where to deploy
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url: how-to-deploy-and-where.md
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- text: MLOps examples
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url: https://github.com/microsoft/MLOps
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- text: Realtime prediction
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url: how-to-consume-web-service.md
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- text: Batch prediction
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url: how-to-use-parallel-run-step.md
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- text: Authentication
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url: how-to-setup-authentication.md
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# Reference
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- title: Go to reference docs
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links:
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- text: SDK for Python
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url: https://docs.microsoft.com/python/api/overview/azure/ml/?view=azure-ml-py
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- text: SDK for R
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url: https://azure.github.io/azureml-sdk-for-r/reference/index.html
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- text: Designer algorithms & modules
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url: algorithm-module-reference/module-reference.md
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- text: MLOps examples repository
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url: https://github.com/microsoft/MLOps
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- text: REST API
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url: https://docs.microsoft.com/rest/api/azureml/
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- text: Machine learning CLI
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url: https://docs.microsoft.com/cli/azure/ext/azure-cli-ml/ml?view=azure-cli-latest
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- text: Designer algorithms & modules
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url: algorithm-module-reference/module-reference.md
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- text: AI reference architectures (GitHub)
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url: https://github.com/Microsoft/AI
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- text: SDK for R
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url: https://azure.github.io/azureml-sdk-for-r/reference/index.html
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# Pipelines
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- title: 'Build ML pipelines'
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linkLists:
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- linkListType: tutorial
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links:
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- text: Create ML pipelines (Python)
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url: tutorial-pipeline-batch-scoring-classification.md
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- text: Linear regression to predict prices (designer)
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url: tutorial-designer-automobile-price-train-score.md
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- linkListType: overview
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links:
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- text: What are ML pipelines?
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url: concept-ml-pipelines.md
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- text: What is the designer?
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url: concept-designer.md

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