Removed: hard-coded testing bucket from NTM

Author: djarpin

introduction_to_amazon_algorithms/README.md

@@ -6,4 +6,4 @@ Example Notebooks include:
 - *linear_mnist*: Predicts whether a handwritten digit from the MNIST dataset is a 0 or not using a binary classifier from Amazon SageMaker Linear Learner.
 - *factorization_machines_mnist*: Predicts whether a handwritten digit from the MNIST dataset is a 0 or not using a binary classifier from Amazon SageMaker Factorization Machines.
 - *pca_mnist*: Uses Amazon SageMaker Principal Components Analysis (PCA) to calculate eigendigits from MNIST.
-- *ntm_synthetic*: Uses Amazon SageMaker Neural Topic Model (NTM) to uncover topics in documents from a synthetic data source, where distributions are known.
+- *ntm_synthetic*: Uses Amazon SageMaker Neural Topic Model (NTM) to uncover topics in documents from a synthetic data source, where topic distributions are known.