AI Mastery: From Search Algorithms to Advanced Strategies

سرفصل های دوره

Search Algorithms, Adversarial Search Problems, Knowledge Representation, Planning and Expert System

1 - Introduction to Artificial Intelligence

1 - Introduction to AI

2 - AI techniques

3 - Problem solving with AI

4 - AI Models

5 - Data acquisition and learning aspects in AI

6 - Problem solving process

7 - Formulating problems

8 - Problem types and characteristics and Problem space and search

9 - Toy ProblemsTictactoe problems

10 - Missionaries and Cannibals Problem

11 - Real World ProblemTravelling Salesman Problem

2 - Basic Introduction to Data Structure and Search Algorithms

12 - Basic introduction to trees

13 - Basic introduction to Graphs

14 - General Search Algorithms

15 - Uninformed Search Methods

16 - Informed search

3 - Adversarial Search Problems and Intelligent Agent

17 - Adversarial Search Methods Game Theory Mini Max Algorithm

18 - Constraint satisfactory problems and CSP as a search problem Room colouring

19 - Intelligent Agent

4 - Knowledge Representation

20 - Knowledge Representation

21 - Knowledge based agents and The Wumpus world

22 - Propositional Logic

23 - Predicate logic

24 - Unification

25 - Knowledge representation using rules

26 - Knowledge representation using semantic nets and Frames

27 - Uncertain Knowledge and reasoning Methods

5 - Planning and Expert System

28 - Planning Simple planning agent Blocks world problem Mean Ends analysis

29 - Machine Learning

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تولید کننده: Udemy