corrected a typo

Author: Yongyao

samples/04_gis_analysts_data_scientists/damagedbuildings_assessment_using_feature_classifier.ipynb

@@ -25,7 +25,7 @@
    "source": [
     "## Introduction\n",
     "\n",
-    "This sample notebook demonstrates the use of deep learning capabilities in ArcGIS to perform feature categorization, which is very useful when you know the location of objects and would likt to classify them into a few classes. Specifically, we are going to perform automated damage assessment of homes after the devastating [Woolsey fires](https://en.wikipedia.org/wiki/Woolsey_Fire). This is a critical task in damage claim processing, and using deep learning can speed up the process and make it more efficient. The workflow consists of three major steps: (1) extract training data, (2) train a deep learning **feature classifier** model, (3) deploy the model for inference and create maps. "
+    "This sample notebook demonstrates the use of deep learning capabilities in ArcGIS to perform feature categorization, which is very useful when you know the location of objects and would like to classify them into a few classes. Specifically, we are going to perform automated damage assessment of homes after the devastating [Woolsey fires](https://en.wikipedia.org/wiki/Woolsey_Fire). This is a critical task in damage claim processing, and using deep learning can speed up the process and make it more efficient. The workflow consists of three major steps: (1) extract training data, (2) train a deep learning **feature classifier** model, (3) deploy the model for inference and create maps. "
    ]
   },
   {