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articles/machine-learning/index.yml

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### YamlMime:Landing
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title: Azure Machine Learning documentation
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summary: Azure Machine Learning offers web interfaces & SDKs so you can quickly train and deploy your machine learning models and pipelines at scale. Use these capabilities with open-source Python frameworks, such as PyTorch, TensorFlow, and scikit-learn.
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summary: 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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metadata:
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title: Azure Machine Learning documentation
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description: Azure Machine Learning offers you web interfaces & SDKs to quickly train and deploy your machine learning models and pipelines at scale. Use these capabilities with open-source Python frameworks, such as PyTorch, TensorFlow, and scikit-learn.
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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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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: 03/05/2020
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ms.date: 03/18/2020
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# linkListType: architecture | concept | deploy | download | get-started | how-to-guide | learn | overview | quickstart | reference | tutorial | video | whats-new
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# Start card title with a verb
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# GET STARTED
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- title: Get started with Azure ML
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- title: Get started with machine learning
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linkLists:
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- linkListType: tutorial
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links:
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- text: Experiment in Python notebooks
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- text: Python notebooks
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url: tutorial-1st-experiment-sdk-setup.md
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- text: Experiment in RStudio
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url: tutorial-1st-r-experiment.md
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- text: Experiment using drag & drop designer
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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: Experiment with automated ML
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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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- linkListType: overview
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links:
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- text: What is Azure ML?
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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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- linkListType: how-to-guide
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links:
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- text: Set up your environment
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url: how-to-configure-environment.md
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- text: Set up training compute targets
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url: how-to-set-up-training-targets.md
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# PYTHON
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- title: 'Experiment: Python SDK'
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- title: 'Use the Python SDK'
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linkLists:
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- linkListType: tutorial
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links:
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- text: Create your first ML experiment
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url: tutorial-1st-experiment-sdk-setup.md
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- text: Classify images
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url: tutorial-train-models-with-aml.md
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- text: Predict taxi fares with automated ML
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- text: Predict taxi fares with Auto ML
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url: tutorial-auto-train-models.md
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- linkListType: how-to-guide
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links:
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- text: Set up your environment
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url: how-to-configure-environment.md
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- text: Train with Scikit-learn
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url: how-to-train-scikit-learn.md
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- text: Train with TensorFlow
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url: how-to-train-keras.md
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# Pipelines
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- title: 'Use ML Pipelines'
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- title: 'Build ML pipelines'
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linkLists:
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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: The 'drag-n-drop' designer
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url: concept-designer.md
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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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- text: Create ML pipelines (Python SDK)
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url: tutorial-pipeline-batch-scoring-classification.md
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- linkListType: how-to-guide
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- linkListType: overview
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links:
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- text: Scheduling pipelines (Python SDK)
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url: how-to-schedule-pipelines.md
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- text: Predict delays (designer)
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url: how-to-designer-sample-classification-flight-delay.md
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- text: Predict churn (designer)
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url: how-to-designer-sample-classification-churn.md
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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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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: Authentication
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url: how-to-setup-authentication.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: End-to-end examples (GitHub)
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url: https://github.com/microsoft/MLOps
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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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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: 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: REST API
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url: https://docs.microsoft.com/rest/api/azureml/
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- text: AI reference architectures (GitHub)
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url: https://github.com/Microsoft/AI

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