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20 lines
1.3 KiB
Markdown
# Azure Machine Learning datasets (preview)
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Azure Machine Learning datasets (preview) let data scientists and machine learning engineers apply data for ML with confidence. By creating a dataset, you create a reference to the data source location, along with a copy of its metadata. The data remains in its existing location, so no extra storage cost is incurred.
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With Azure Machine Learning datasets, you can:
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* **Keep a single copy of data in your storage** referenced by datasets.
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* **Easily access data during model training** without worrying about connection string or data path.
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* **Share data & collaborate** with other users.
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## Learn how to use Azure Machine Learning datasets
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* [Create and register datasets](https://aka.ms/azureml/howto/createdatasets)
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* Use [Datasets in training](datasets-tutorial/train-with-datasets.ipynb)
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* Use TabularDatasets in [automated machine learning training](https://aka.ms/automl-dataset)
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* Use FileDatasets in [image classification](https://aka.ms/filedataset-samplenotebook)
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* Use FileDatasets in [deep learning with hyperparameter tuning](https://aka.ms/filedataset-hyperdrive)
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* For existing Dataset users: [Dataset API change notice](dataset-api-change-notice.md)
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