Fixed: Typos of sagemarker to sagemaker

Author: djarpin

advanced_functionality/r_bring_your_own/r_bring_your_own.ipynb

@@ -97,7 +97,7 @@
     "\n",
     "### Fit\n",
     "\n",
-    "`mars.R` creates functions to fit and serve our model.  The algorithm we've chosen to use is [Multivariate Adaptive Regression Splines](https://en.wikipedia.org/wiki/Multivariate_adaptive_regression_splines).  This is a suitable example as it's a unique and powerful algorithm, but isn't as broadly used as Amazon SageMarker algorithms, and it isn't available in Python's scikit-learn library.  R's repository of packages is filled with algorithms that share these same criteria. "
+    "`mars.R` creates functions to fit and serve our model.  The algorithm we've chosen to use is [Multivariate Adaptive Regression Splines](https://en.wikipedia.org/wiki/Multivariate_adaptive_regression_splines).  This is a suitable example as it's a unique and powerful algorithm, but isn't as broadly used as Amazon SageMaker algorithms, and it isn't available in Python's scikit-learn library.  R's repository of packages is filled with algorithms that share these same criteria. "
    ]
   },
   {

advanced_functionality/working_with_redshift_data/working_with_redshift_data.ipynb

@@ -59,7 +59,7 @@
     "region = boto3.Session().region_name\n",
     "\n",
     "bucket='<your_s3_bucket_name_here>' # put your s3 bucket name here, and create s3 bucket\n",
-    "prefix = 'sagemarker/redshift'\n",
+    "prefix = 'sagemaker/redshift'\n",
     "# customize to your bucket where you have stored the data\n",
     "\n",
     "credfile = 'redshift_creds_template.json.nogit'"

introduction_to_amazon_algorithms/xgboost_mnist/xgboost_mnist.ipynb

@@ -69,7 +69,7 @@
     "region = boto3.Session().region_name\n",
     "\n",
     "bucket='<bucket-name>' # put your s3 bucket name here, and create s3 bucket\n",
-    "prefix = 'sagemarker/xgboost-multiclass-classification'\n",
+    "prefix = 'sagemaker/xgboost-multiclass-classification'\n",
     "# customize to your bucket where you have stored the data\n",
     "bucket_path = 'https://s3-{}.amazonaws.com/{}'.format(region,bucket)"
    ]