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Merge pull request #104128 from runitralph/patch-1
Update concept-automated-ml.md
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articles/machine-learning/concept-automated-ml.md

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@@ -33,7 +33,7 @@ Using **Azure Machine Learning**, you can design and run your automated ML train
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1. **Identify the ML problem** to be solved: classification, forecasting, regression, computer vision or NLP.
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1. **Choose whether you want to a code-first experience or a no-code studio web experience**: Users who prefer a code-first experience can use the [AzureML SDKv2](how-to-configure-auto-train.md) or the [AzureML CLIv2](how-to-train-cli.md). Get started with [Tutorial: Train an object detection model with AutoML and Python](tutorial-auto-train-image-models.md). Users who prefer a limited/no-code experience can use the [web interface](how-to-use-automated-ml-for-ml-models.md) in Azure Machine Learning studio at [https://ml.azure.com](https://ml.azure.com/). Get started with [Tutorial: Create a classification model with automated ML in Azure Machine Learning](tutorial-first-experiment-automated-ml.md).
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1. **Choose whether you want a code-first experience or a no-code studio web experience**: Users who prefer a code-first experience can use the [AzureML SDKv2](how-to-configure-auto-train.md) or the [AzureML CLIv2](how-to-train-cli.md). Get started with [Tutorial: Train an object detection model with AutoML and Python](tutorial-auto-train-image-models.md). Users who prefer a limited/no-code experience can use the [web interface](how-to-use-automated-ml-for-ml-models.md) in Azure Machine Learning studio at [https://ml.azure.com](https://ml.azure.com/). Get started with [Tutorial: Create a classification model with automated ML in Azure Machine Learning](tutorial-first-experiment-automated-ml.md).
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1. **Specify the source of the labeled training data**: You can bring your data to AzureML in [many different ways](concept-data.md).
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