# Azure Machine Learning datasets (preview)

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.

With Azure Machine Learning datasets, you can: 

* **Keep a single copy of data in your storage** referenced by datasets. 
* **Easily access data during model training** without worrying about connection string or data path.
* **Share data & collaborate** with other users.

## Learn how to use Azure Machine Learning datasets
* [Create and register datasets](https://aka.ms/azureml/howto/createdatasets)
* Use [Datasets in training](datasets-tutorial/train-with-datasets.ipynb)
* Use TabularDatasets in [automated machine learning training](https://aka.ms/automl-dataset)
* Use FileDatasets in [image classification](https://aka.ms/filedataset-samplenotebook)
* Use FileDatasets in [deep learning with hyperparameter tuning](https://aka.ms/filedataset-hyperdrive)
* For existing Dataset users: [Dataset API change notice](dataset-api-change-notice.md)
 

![Impressions](https://PixelServer20190423114238.azurewebsites.net/api/impressions/MachineLearningNotebooks/work-with-data/README.png)