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add (v1) to avoid confusion
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articles/machine-learning/v1/toc.yml

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- name: Azure SDK & CLI v1 Machine Learning Documentation
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- name: Azure Machine Learning Documentation (v1)
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href: introduction.md
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- name: Switch to current version documentation
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href: ../index.yml
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- name: Overview
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- name: Overview (v1)
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items:
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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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- name: Migrate from ML Studio (classic)
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href: ../migrate-rebuild-integrate-with-client-app.md
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- name: Rebuild Execute R Script components
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href: ../migrate-execute-r-script.md
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- name: Concepts
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- name: Concepts (v1)
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items:
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- name: Work with data
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- name: Manage resources VS Code
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displayName: vscode,resources
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href: ../how-to-manage-resources-vscode.md
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- name: Tutorials
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- name: Tutorials (v1)
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expanded: true
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items:
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- name: Python get started (Day 1)
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href: tutorial-1st-experiment-bring-data.md
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- name: "Build a training pipeline (Python)"
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href: "tutorial-pipeline-python-sdk.md"
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- name: How-to guides
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- name: How-to guides (v1)
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items:
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- name: Install and set up the CLI (v1)
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displayName: azurecli, mlops
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- name: Convert notebook code into Python scripts
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displayName: mlops, mlopspython, production
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href: how-to-convert-ml-experiment-to-production.md
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- name: Troubleshoot & debug
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- name: Troubleshoot & debug (v1)
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- name: Pipeline issues
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- name: Troubleshoot the ParallelRunStep
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displayName: debug_batch consume pipeline parallelrunstep inference
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href: how-to-debug-parallel-run-step.md
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- name: Reference
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- name: Reference (v1)
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items:
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- name: Machine learning CLI pipeline YAML reference
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href: reference-pipeline-yaml.md

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