Artificial Intelligence (AI) (English)

   Monday, November 20, 2023   

Starting a new Lecture Notes Series on Artificial Intelligence (AI)

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Artificial Intelligence (AI) By Lecture Notes together!

Lecture Description of this above Topic:

Lecture 1: Artificial Intelligence | Introduction | Lec-1

Lecture 2: Artificial intelligence (AI) | Why & goals | Lec-2

Lecture 3: Intelligence composed of | Artificial Intelligence | Lec-3

Lecture 4: Agents in AI | Part-1/2 | Artificial Intelligence | Lec-4

Lecture 5: Agents in AI | Part-2/2 | Artificial Intelligence | Lec-5

Lecture 6: types of AI agents | Part-1/2 | simple & model based reflex | Lec-6

Lecture 7: types of AI agents | Part-2/2 | learning, goal & utility based | Lec-7

Lecture 8: Agents environment | Artificial intelligence | Lec-8

Lecture 9: problem solving | Artificial intelligence | Lec-9

Lecture 10: search algorithm | properties | Artificial intelligence | Lec-10

Lecture 11: search algorithm | types | Artificial intelligence | Lec-11

Lecture 12: BFS search algorithm | uninformed | Artificial intelligence | Lec-12

Lecture 13: Breadth first search algorithm Example | BFS | uninformed | AI | Lec-13

Lecture 14: depth first search algorithm | DFS | Uninformed | Artificial intelligence | Lec-14

Lecture 15: Depth limited search algorithm | DLS | Uninformed | Artificial intelligence | Lec-15

Lecture 16: Uniform Cost Search algorithm | UCS | uninformed | Artificial intelligence

Lecture 17: Bidirectional search algorithm | uninformed | Artificial intelligence | Lec-17

Lecture 18: BFS algorithm | informed search | Artificial intelligence | Lec-18

Lecture 19: BFS algorithm example | informed search | AI | Lec-19

Lecture 20: A Star algorithm | Informed search | Artificial intelligence | Lec-20

Lecture 21: A Star algorithm | Example | Informed search | Artificial intelligence | Lec-21

Lecture 22: AO star algorithm | informed search | AI | Lec-22

Lecture 23: knowledge based agent |Artificial intelligence | Lec-23

Lecture 24: Propositional logic | artificial intelligence| Lec-24

Lecture 25: Sparse Matrix | Linked list representation | Data Structures | Lec-25

Lecture 26: What is Tree | Data Structures | Lec-26

Lecture 27: Binary tree | Recursive & Properties | Data Structures | Lec-27

Lecture 28: Recursive and Implementation of trees | Data Structures | Lec-28

Lecture 29: Binary tree traversal | Preorder , Inorder & Postorder | Data Structures | Lec-29

Lecture 30: Binary Tree Traversal | Preorder | Data Structures | Lec-30

Lecture 31: Binary Tree Traversal | Inorder | Data Structures | Lec-31

Lecture 32: Binary Tree Traversal | Postorder | Data Structures | Lec-32

Lecture 33: Binary Search Tree (BST) | Part-1/2 | Data Structures | Lec-33

Lecture 34: Binary Search Tree (BST) | Part-2/2 | Data Structures | Lec-34

Lecture 35: expression tree | Data Structures | Lec-35

Lecture 36: Binary Search Tree Traversal | In, Pre & Post Order | Data Structures | Lec-36

Lecture 37: Searching in Binary Search Tree | Algo & Example | Data Structures | Lec-37

Lecture 38: Insertion in Binary Search Tree | Algo & Example | Data Structures | Lec-38

Lecture 39: Deletion in Binary Search Tree | Algo & Example | Data Structures | Lec-39

Lecture 40: Avl tree | Introduction | Data Structures | Lec-40

Lecture 41: avl tree rotation examples | Left - Left rotation | Data Structures | Lec-41

Lecture 42: avl tree rotation examples | Left - Right rotation | Data Structures | Lec-42

Lecture 43: avl tree rotation examples | RR & RL rotation | Data Structures | Lec-43

Lecture 44: AVL tree insertion example | Data Structures | Lec-44

Lecture 45: Heap tree | Min & Max heap | Data Structures | Lec-45

Lecture 46: Graph terminology | Data Structures | Lec-46

Lecture 47: Adjacency Matrices | Example | Graph representation | Data Structures | Lec-47

Lecture 48: Incidence matrix | Example | Graph representation | Data Structures | Lec-48

Lecture 49: Adjacency list | Example | Graph representation | Data Structures | Lec-49

Lecture 50: Depth First Search | Also & Example | Graph traversal | Data Structures | Lec-50

Lecture 51: Breadth First Search | Also & Example | Graph traversal | Data Structures | Lec-51

Lecture 52: Sorting | Methods | Data Structures | Lec-52