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[UI] Updating starting page UI links #2955

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Feb 1, 2020
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[UI] Updating starting page UI links #2955

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17 changes: 9 additions & 8 deletions frontend/src/pages/GettingStarted.tsx
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Expand Up @@ -30,29 +30,30 @@ const options = {
const PAGE_CONTENT_MD = `
## Build your own pipeline

Build a end-to-end ML pipeline with TFX [Start Here](https://console.cloud.google.com/mlengine/notebooks/deploy-notebook?q=download_url%3Dhttps%253A%252F%252Fraw.githubusercontent.com%252Fkubeflow%252Fpipelines%252F0.1.40%252Fsamples%252Fcore%252Fparameterized_tfx_oss%252Ftaxi_pipeline_notebook.ipynb) (Alpha)
Build an end-to-end ML pipeline with TFX [Start Here](https://console.cloud.google.com/mlengine/notebooks/deploy-notebook?q=download_url%3Dhttps%253A%252F%252Fraw.githubusercontent.com%252Fkubeflow%252Fpipelines%252F0.1.40%252Fsamples%252Fcore%252Fparameterized_tfx_oss%252Ftaxi_pipeline_notebook.ipynb) (Alpha)

## Demos and Tutorials

This section contains demo and tutorial pipelines.

**Demos** - Try an end-to-end demonstration pipeline.

* [TFX pipeline demo](https://www.google.com) \\- A trainer that does end-to-end distributed training for XGBoost models. [source code](https://github.com/kubeflow/pipelines/tree/master/samples/core/parameterized_tfx_oss)
* [XGBoost Pipeline](https://www.google.com) \\- Example pipeline that does classification with model analysis based on a public taxi cab BigQuery dataset. [source code](https://github.com/kubeflow/pipelines/tree/master/samples/core/xgboost_training_cm)
* [TFX pipeline demo](#/pipelines) - A trainer that does end-to-end distributed training for XGBoost models. [source code](https://github.com/kubeflow/pipelines/tree/master/samples/core/parameterized_tfx_oss)
* [XGBoost Pipeline](#/pipelines) - Example pipeline that does classification with model analysis based on a public taxi cab BigQuery dataset. [source code](https://github.com/kubeflow/pipelines/tree/master/samples/core/xgboost_training_cm)


**Tutorials** - Learn pipeline concepts by following a tutorial.

* [Name of Tutorial 1] - \\<tutorial 1 description\\>. [source code]()
* [Name of Tutorial 2] - \\<tutorial 2 description\\>. [source code]()
* [Data passing in python components](#/pipelines) - Shows how to pass data between python components. [source code](https://github.com/kubeflow/pipelines/tree/master/samples/tutorials/Data%20passing%20in%20python%20components)
* [DSL - Control structures](#/pipelines) - Shows how to use conditional execution and exit handlers. [source code](https://github.com/kubeflow/pipelines/tree/master/samples/tutorials/DSL%20-%20Control%20structures)

You can find additional tutorials and samples [here]()

### Additional resources and documentation
* [TFX Landing page]()
* [Hosted Pipeline documentation]()
* [Troubleshooting guide]()
* [TFX Landing page](https://www.tensorflow.org/tfx)
* [Hosted Pipeline documentation](https://cloud.google.com/ai-platform)
* [Troubleshooting guide](https://www.kubeflow.org/docs/pipelines/troubleshooting/)
* [Kubeflow Pipeline Open source documentation](https://www.kubeflow.org/docs/pipelines/)
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