edit to intro

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

@@ -32,7 +32,7 @@ We live in a universe full of unusual and interesting mysteries. Great scientist
 
 A child's brain and senses perceive the facts of their surroundings and gradually learn the hidden patterns of life which help the child to craft logical rules to identify learned patterns. The learning process of the human brain makes humans the most sophisticated living creature of this world. Learning continuously by discovering hidden patterns and then innovating on those patterns enable us to make ourselves better and better throughout our lifetime.  This learning capacity and evolving capability is related to a concept called [brain plasticity](https://www.simplypsychology.org/brain-plasticity.html). Superficially, we can draw some motivational similarities between the learning process of the human brain and the concepts of machine learning.
 
-The [human brain](https://www.livescience.com/29365-human-brain.html) perceives things from the real world, processes the perceived information, makes rational decisions, and performs certain actions based on circumstances. This is what we called behaving intelligently. When we program a facsimile of the intelligent behavioral process to a machine, it is called Artificial Intelligence (AI). Although the terms can be confused, Machine Learning (ML) is an important subset of Artificial Intelligence. **ML is concerned with fetching meaningful information and finding hidden patterns from perceived data to corroborate the rational decision-making process**.
+The [human brain](https://www.livescience.com/29365-human-brain.html) perceives things from the real world, processes the perceived information, makes rational decisions, and performs certain actions based on circumstances. This is what we called behaving intelligently. When we program a facsimile of the intelligent behavioral process to a machine, it is called Artificial Intelligence (AI). Although the terms can be confused, Machine Learning (ML) is an important subset of Artificial Intelligence. **ML is concerned with using specialized algorithms fetching meaningful information and finding hidden patterns from perceived data to corroborate the rational decision-making process**.
 ## What you will learn in this course
 
 In this curriculum, we are going to cover only the core concepts of Machine Learning that a beginner must know. We cover what we call "Classic ML", avoiding the complexities of neural networks, "Deep Learning" - many-layered model-building - and AI, which we will discuss in a different curriculum. But to understand broader concepts of Artificial Intelligence or Deep Learning, a strong fundamental knowledge of Machine Learning is indispensable, and so we would like to offer it here.