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Merge pull request #96320 from trevorbye/master
shortening titles
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articles/machine-learning/service/how-to-run-batch-predictions.md

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title: Run batch inference on large amounts of data
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title: Run batch predictions on big data
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titleSuffix: Azure Machine Learning
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description: Learn how to get inferences asynchronously on large amounts of data by using batch inference in Azure Machine Learning. Batch inference provides parallel processing capabilities out of the box and optimizes for high-throughput, fire-and-forget inference for big-data use cases.
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services: machine-learning

articles/machine-learning/service/how-to-set-up-training-targets.md

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title: Create and use compute targets for model training
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title: Use compute targets for model training
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titleSuffix: Azure Machine Learning
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description: Configure the training environments (compute targets) for machine learning model training. You can easily switch between training environments. Start training locally. If you need to scale out, switch to a cloud-based compute target.
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services: machine-learning

articles/machine-learning/service/how-to-train-tensorflow.md

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title: Train a deep learning neural network with TensorFlow
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title: Train a neural network with TensorFlow
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titleSuffix: Azure Machine Learning
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description: Learn how to run TensorFlow training scripts at scale using Azure Machine Learning.
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services: machine-learning

articles/machine-learning/service/tutorial-1st-experiment-sdk-setup.md

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title: "Tutorial: Create your first ML experiment: Setup"
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title: "Tutorial: Create your first ML experiment"
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titleSuffix: Azure Machine Learning
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description: In this tutorial, you'll to get started with the Azure Machine Learning Python SDK running in Jupyter notebooks. In Part 1, you create a workspace in which you'll manage experiments and ML models.
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services: machine-learning

articles/machine-learning/service/tutorial-auto-train-models.md

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title: 'Regression model tutorial: Automated ML'
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title: 'Regression tutorial: Automated ML'
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titleSuffix: Azure Machine Learning
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description: Learn how to generate a machine learning model by using automated machine learning. Azure Machine Learning can perform data preprocessing, algorithm selection, and hyperparameter selection in an automated way for you. Then the final model is deployed with Azure Machine Learning.
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services: machine-learning

articles/machine-learning/service/tutorial-first-experiment-automated-ml.md

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title: Create your first automated ML classification experiment
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title: Create your first automated ML experiment
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titleSuffix: Azure Machine Learning
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description: Learn how to train and deploy a classification model with automated machine learning in Azure Machine Learning studio.
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services: machine-learning

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