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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 graphical 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: Azure Machine Learning is Microsoft's all-inclusive service for data scientists and developers. Train, deploy, and manage your machine learning models and pipelines at scale with a single, cloud-based solution.
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metadata:
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title: Azure Machine Learning documentation
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description: Use SDKs and graphical interfaces 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: Azure Machine Learning is Microsoft's all-inclusive service for data scientists and developers. Train, deploy, and manage your machine learning models and pipelines at scale with a single, cloud-based solution.
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services: machine-learning
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ms.service: machine-learning
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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
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linkLists:
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- linkListType: tutorial
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links:
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- text: Start with 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: Start with RStudio
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- text: RStudio
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url: tutorial-1st-r-experiment.md
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- text: Start with the designer (drag & drop)
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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: Start with automated ML
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- text: Automated 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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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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url: how-to-train-keras.md
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# Pipelines
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- title: 'Build ML 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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- text: Create ML pipelines (Python SDK)
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url: tutorial-pipeline-batch-scoring-classification.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: The 'drag-&-drop' designer
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- text: What is the designer?
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url: concept-designer.md
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- linkListType: how-to-guide
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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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# MLOps
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- title: Deploy & manage models
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url: how-to-setup-authentication.md
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# Reference
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- title: View reference docs
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- title: Go to reference docs
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linkLists:
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- linkListType: reference
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links:

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