LeeJin0527/artificial-intelligence

인공지능 수업을 듣고 정리한 레포입니다.

artificialIntelligence

Basic Concepts of Artificial Intelligence

• Searching

  • https://github.com/LeeJin0527/artificialIntelligence/blob/main/Searching/Search.md (searching 정리본)
  • https://github.com/LeeJin0527/artificialIntelligence/blob/main/Searching/bfs.py (BFS 8-PUZZLE PROBLEM SOLVING)
  • https://github.com/LeeJin0527/artificialIntelligence/blob/main/Searching/dfs.py (DFS 8-PUZZLE PROBLEM SOLVING)
  • https://github.com/LeeJin0527/artificialIntelligence/blob/main/Searching/Astar.py (Astar 8-PUZZLE PROBLEM SOLVING)

• Knowledge Representation

  • https://github.com/LeeJin0527/artificialIntelligence/blob/main/KnowledgeRepresentation/KR.md (정리본)

• Game Tree

  • https://github.com/LeeJin0527/artificialIntelligence/blob/main/GameTree/GameTree.md (정리본)
  • https://github.com/LeeJin0527/artificialIntelligence/blob/main/GameTree/TicTacToe.py (코드 구현)
  • https://github.com/LeeJin0527/artificialIntelligence/blob/main/GameTree/Alphago.py (코드 구현 -사용자 입력받음 )

• Expert System

  • https://github.com/LeeJin0527/artificialIntelligence/blob/main/ExpertSystem/expertSystem.md (정리본)

• Puzzy Logic

  • https://github.com/LeeJin0527/artificialIntelligence/blob/main/Puzzy/puzzy.md (정리본)

• Uncertainty

  • https://github.com/LeeJin0527/artificialIntelligence/blob/main/Uncertainty/Uncertainty.md (정리본)

To learn key methods for AI realization

• Machine Learning :Linear Regression, KNN/ Kmeans , Neural Networks

To develop application skills using Python

and so on,,