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+.DS_Store
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 # Introduction 
 
+Building an AI system is a careful process of reverse-engineering human traits 
+and capabilities in a machine[^1]:
+- Machine Learning: ML teaches a machine how to make inferences and decisions 
+based on past experience. It identifies patterns and analyses past data to infer 
+the meaning of these data points to reach a possible conclusion without having 
+to involve human experience. 
+
+- Deep Learning: Deep Learning is an ML technique. It teaches a machine to process inputs through layers in order to classify, infer and predict the outcome.
+
+- Neural Networks: Neural Networks work on similar principles to Human Neural cells. They are a series of algorithms that captures the relationship between various underlying variables and processes the data as a human brain does.
+
+- Natural Language Processing: NLP is the science of reading, understanding, and interpreting a language by a machine. Once a machine understands what the user intends to communicate, it responds accordingly.
+
+- Computer Vision: Computer vision algorithms try to understand an image by breaking down an image and studying different parts of the object. This helps the machine classify and learn from a set of images to make a better output decision based on previous observations.
+
+-  Cognitive Computing: Cognitive computing algorithms try to mimic a human brain by analyzing text/speech/images/objects in a manner that a human does and tries to give the desired output. Also, take up applications of artificial intelligence courses for free.
+
+![](aiVsML.png)
+
+![](diff.png)
+
+
 # Sillabus
 
+1. Introduction to Python programming and Google Colab
+2. A Landscape to machine learning: learning from real data
+3. Linear and Logistic Regressors
+4. Artificial Neural Networks
+
+
 # Introduction to python
 
 # Landscape to machine learning
@@ -11,3 +39,8 @@
 # Logistic Regressor 
 
 # Artificial Neural Network
+
+
+by Gerardo Marx June 2023
+
+[^1]: https://www.mygreatlearning.com/blog/what-is-artificial- intelligence/
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