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Fix typo
Tensorflow -> TensorFlow
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articles/synapse-analytics/spark/apache-spark-machine-learning-training.md

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@@ -28,7 +28,7 @@ Every Apache Spark pool in Azure Synapse Analytics comes with a set of pre-loade
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- [XGBoost](https://xgboost.readthedocs.io/en/latest/) is a popular machine learning library that contains optimized algorithms for training decision trees and random forests.
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- [PyTorch](https://pytorch.org/) & [Tensorflow](https://www.tensorflow.org/) are powerful Python deep learning libraries. Within an Apache Spark pool in Azure Synapse Analytics, you can use these libraries to build single-machine models by setting the number of executors on your pool to zero. Even though Apache Spark is not functional under this configuration, it is a simple and cost-effective way to create single-machine models.
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- [PyTorch](https://pytorch.org/) & [TensorFlow](https://www.tensorflow.org/) are powerful Python deep learning libraries. Within an Apache Spark pool in Azure Synapse Analytics, you can use these libraries to build single-machine models by setting the number of executors on your pool to zero. Even though Apache Spark is not functional under this configuration, it is a simple and cost-effective way to create single-machine models.
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You can learn more about the available libraries and related versions by viewing the published [Azure Synapse Analytics runtime](../spark/apache-spark-version-support.md).
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