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Trevor Bye
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replacing tutorials
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articles/machine-learning/service/toc.yml

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- name: What is Azure Machine Learning service?
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displayName: AML, services, overview, introduction
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href: overview-what-is-azure-ml.md
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- name: Architecture & terms
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- name: Architecture & terms
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displayName: architecture, concepts, definitions, glossary
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href: concept-azure-machine-learning-architecture.md
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href: tutorial-deploy-models-with-aml.md
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- name: Regression (NYC Taxi data)
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items:
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- name: 1. Prepare data for modeling
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displayName: data prep
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href: tutorial-data-prep.md
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- name: 2. Auto-train an ML model
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- name: Auto-train an ML model
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displayName: automl, automated, auto ml,
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href: tutorial-auto-train-models.md
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- name: Visual interface
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href: how-to-configure-environment.md
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- name: Manage software environment
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displayName: pip, Conda
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href: how-to-use-environments.md
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href: how-to-use-environments.md
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- name: Enable logging
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displayName: troubleshoot, log, files, tracing
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href: how-to-enable-logging.md
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displayName: time series
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href: how-to-auto-train-forecast.md
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- name: Understand charts and metrics
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href: how-to-understand-automated-ml.md
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href: how-to-understand-automated-ml.md
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- name: Deploy & serve models
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- name: Where and how to deploy
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- name: Deploy to Notebook VMs
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href: how-to-deploy-local-container-notebook-vm.md
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- name: Use custom Docker image
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href: how-to-deploy-custom-docker-image.md
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href: how-to-deploy-custom-docker-image.md
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- name: Deploy existing models
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displayName: publish existing model
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href: how-to-deploy-existing-model.md

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