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Author: nibaccam

articles/machine-learning/concept-automated-ml.md

@@ -141,7 +141,7 @@ With Azure Machine Learning, you can use automated ML to build a Python model an
 
 See how to convert to ONNX format [in this Jupyter notebook example](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/classification-bank-marketing-all-features/auto-ml-classification-bank-marketing-all-features.ipynb). Learn which [algorithms are supported in ONNX](how-to-configure-auto-train.md#select-your-experiment-type).
 
-The ONNX runtime also supports C#, so you can use the model built automatically in your C# apps without any need for recoding or any of the network latencies that REST endpoints introduce. Learn more about (inferencing ONNX models with the ONNX runtime C# API)[https://github.com/Microsoft/onnxruntime/blob/master/docs/CSharp_API.md]. 
+The ONNX runtime also supports C#, so you can use the model built automatically in your C# apps without any need for recoding or any of the network latencies that REST endpoints introduce. Learn more about [inferencing ONNX models with the ONNX runtime C# API](https://github.com/Microsoft/onnxruntime/blob/master/docs/CSharp_API.md). 
 
 ## Automated ML in Azure Machine Learning