title | description | services | documentationcenter | author | manager | editor | ms.assetid | ms.service | ms.workload | ms.tgt_pltfrm | ms.devlang | ms.topic | ms.date | ms.author |
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Copy machine learning sample experiments | Microsoft Docs |
Learn how to use sample machine learning experiments to create new experiments with Cortana Intelligence Gallery and Microsoft Azure Machine Learning. |
machine-learning |
cjgronlund |
jhubbard |
cgronlun |
81e6c1d8-682c-4db3-bfd5-d7bfb1150ff3 |
machine-learning |
data-services |
na |
na |
get-started-article |
11/11/2016 |
cgronlun;olgali |
Learn how to start with sample experiments from Cortana Intelligence Gallery instead of creating machine learning experiments from scratch. You can use the samples to build your own machine learning solution.
In the gallery are sample experiments by the Microsoft Azure Machine Learning team as well as samples shared by the Machine Learning community. You also can ask questions or post comments about experiments.
To see how to use the gallery, watch the 3-minute video Copy other people's work to do data science from the series Data Science for Beginners.
[!INCLUDE machine-learning-free-trial]
To see what experiments are available, go to the Gallery and click Experiments at the top of the page.
On this page, you can see Recently added experiments, or scroll down to look at What's popular or the latest Popular Microsoft experiments.
To browse all experiments:
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Click Browse all at the top of the page.
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Under Refine by, select Experiment to see all the experiments in the Gallery.
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You can find experiments that meet your requirements a couple different ways:
- Select filters on the left. For example, to browse experiments that use a PCA-based anomaly detection algorithm, select Experiment under Categories, and PCA-Based Anomaly Detection under Algorithms Used. (If you don't see that algorithm, click Show all at the bottom of the list.)
- Use the search box. For example, to find experiments contributed by Microsoft related to digit recognition that use a two-class support vector machine algorithm, enter "digit recognition" in the search box. Then, select the filters Experiment, Microsoft content only, and Two-Class Support Vector Machine:
- Select filters on the left. For example, to browse experiments that use a PCA-based anomaly detection algorithm, select Experiment under Categories, and PCA-Based Anomaly Detection under Algorithms Used. (If you don't see that algorithm, click Show all at the bottom of the list.)
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Click an experiment to learn more about it.
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To run and/or modify the experiment, click Open in Studio on the experiment's page.
[!NOTE] To open an experiment in Machine Learning Studio, you need to sign in with your Microsoft account credentials. If you don’t have a Machine Learning workspace yet, a free trial workspace is created. Learn what’s included in the Machine Learning free trial
You also can create a new experiment in Machine Learning Studio using a Gallery sample as a template.
- Sign in with your Microsoft account credentials to the Studio, and then click New to create a new experiment.
- Browse through the sample content and click one.
A new experiment is created in your workspace using the sample experiment as a template.