Merge pull request #93 from yanrez/master
Make pipeline notebooks links in readme
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@@ -36,13 +36,13 @@ In this directory, there are two types of notebooks:
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* The first type of notebooks will introduce you to core Azure Machine Learning Pipelines features. The notebooks below belong in this category, and are designed to go in sequence:
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1. aml-pipelines-getting-started.ipynb
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2. aml-pipelines-with-data-dependency-steps.ipynb
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3. aml-pipelines-publish-and-run-using-rest-endpoint.ipynb
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4. aml-pipelines-data-transfer.ipynb
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5. aml-pipelines-use-databricks-as-compute-target.ipynb
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6. aml-pipelines-use-adla-as-compute-target.ipynb
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1. [aml-pipelines-getting-started.ipynb](aml-pipelines-getting-started.ipynb)
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2. [aml-pipelines-with-data-dependency-steps.ipynb](aml-pipelines-with-data-dependency-steps.ipynb)
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3. [aml-pipelines-publish-and-run-using-rest-endpoint.ipynb](aml-pipelines-publish-and-run-using-rest-endpoint.ipynb)
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4. [aml-pipelines-data-transfer.ipynb](aml-pipelines-data-transfer.ipynb)
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5. [aml-pipelines-use-databricks-as-compute-target.ipynb](aml-pipelines-use-databricks-as-compute-target.ipynb)
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6. [aml-pipelines-use-adla-as-compute-target.ipynb](aml-pipelines-use-adla-as-compute-target.ipynb)
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* The second type of notebooks illustrate more sophisticated scenarios, and are independent of each other. These notebooks include:
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- pipeline-batch-scoring.ipynb
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- pipeline-style-transfer.ipynb
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- [pipeline-batch-scoring.ipynb](pipeline-batch-scoring.ipynb)
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- [pipeline-style-transfer.ipynb](pipeline-style-transfer.ipynb)
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