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1-Introduction/1-intro-to-ML/README.md

@@ -68,7 +68,7 @@ To make for a better learning experience, we will avoid the complexities of neur
 
 ## Why learn Machine Learning
 
-> create automated systems that can learn hidden patterns from data to infer intelligent decisions
+Machine Learning is defined as the creation of automated systems that can learn hidden patterns from data to infer intelligent decisions.
 
 The major motivation behind leveraging Machine Learning is to create automated systems that can learn hidden patterns from data to infer intelligent decisions. This motivation seem to be loosely inspired by how the human brain learns certain things based on the data it perceives from the outside world.
 
@@ -78,7 +78,7 @@ The major motivation behind leveraging Machine Learning is to create automated s
 
 Applications of Machine Learning are now almost everywhere, and are as ubiquitous as the data that is flowing around our societies, generated by our smart phones, connected devices, and other systems. Considering the immense potential of state-of-the-art Machine Learning algorithms, researchers have been exploring their capability to solve multi-dimensional and multi-disciplinary real-life problems with great positive outcomes.
 
-You can use Machine learning in a lot of areas, like in the below examples:
+You can use Machine Learning in many ways:
 
 - Predict the likelihood of disease from a patient's medical history or reports.
 - Leverage weather data to predict weather events.