Fixed: wording in conclusion on subsequent range reduction

Author: djarpin

hyperparameter_tuning/mxnet_gluon_cifar10_random_search/hyperparameter_tuning_mxnet_gluon_cifar10_random_search.ipynb

@@ -1833,7 +1833,7 @@
     "\n",
     "## Wrap-up\n",
     "\n",
-    "In this notebook, we saw the importance of hyperparameter tuning and discovered how much more effective Amazon SageMaker Automatic Model Tuning can be than random search.  We could extend this example by testing another brute force method like grid search, tuning additional hyperparameters, using this first round of hyperparameter tuning to inform a secondary round of  hyperparameter tuning where values have been narrowed down further, or applying this same comparison to your own problem.\n",
+    "In this notebook, we saw the importance of hyperparameter tuning and discovered how much more effective Amazon SageMaker Automatic Model Tuning can be than random search.  We could extend this example by testing another brute force method like grid search, tuning additional hyperparameters, using this first round of hyperparameter tuning to inform a secondary round of  hyperparameter tuning where ranges have been narrowed down further, or applying this same comparison to your own problem.\n",
     "\n",
     "For more information on using SageMaker's Automatic Model Tuning, see our other [example notebooks](https://github.com/awslabs/amazon-sagemaker-examples/tree/master/hyperparameter_tuning) and [documentation](https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning.html)."
    ]