Artificial Intelligence and
its Applications
Lecture 1,2
Dr. Ahmed Elshafeey
,Contents:
• Introduction
• Intelligent Agent
• Problem Solving
• Searching for Solutions
• Introduction to machine learning
• K –Mean Clustering, K –Nearest Neighbor
• Machine Learning Algorithms (Linear regression)
• Introduction to neural network
,Reference:
• “Artificial Intelligence. A Modern Approach”, Stuar
Russell and Peter Norvig, 3rd edition, 2009.
, Purpose of this course:
• Understand AI Basics.
• Excite you about this Field
its Applications
Lecture 1,2
Dr. Ahmed Elshafeey
,Contents:
• Introduction
• Intelligent Agent
• Problem Solving
• Searching for Solutions
• Introduction to machine learning
• K –Mean Clustering, K –Nearest Neighbor
• Machine Learning Algorithms (Linear regression)
• Introduction to neural network
,Reference:
• “Artificial Intelligence. A Modern Approach”, Stuar
Russell and Peter Norvig, 3rd edition, 2009.
, Purpose of this course:
• Understand AI Basics.
• Excite you about this Field
