Foundations of A.I.: Search Algorithms

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Search Algorithms

1 - About the Program

1 - Course Introduction

2 - Course Outline

2 - What is Artificial Intelligence

3 - Where is AI Around Us

4 - What is AI

5 - AI Paradigms

6 - Why AI is Important Now

7 - Applications of AI

8 - History of AI

9 - How does Human Intelligence Work

3 - Rationality Agents Environment

10 - What is an Agent and Environment

11 - What is Rationality and a Rational Agent

12 - Factors of Rationality

13 - Nature of Environments

14 - Types of Agent Architectures

15 - Simple Reflex Agent

16 - Reflex Agent with Internal State

17 - Goal based Agent

18 - Utility based Agents

4 - Software Installation

19 - Installing Anaconda Distribution

20 - Handling Jupyter Notebooks 1

21 - Handling Jupyter Notebooks 2

5 - Python Crash Course

22 - What is Python

23 - Data Types in Python

24 - LoopsFor Jupyter

25 - LoopsWhile Jupyter

26 - Creating Functions in Python Jupyter

27 - Conditional Statements If Else Jupyter

6 - Problem Solving

28 - What is a Problem

29 - Problem Solving Agent

30 - Search Algorithms

31 - Introduction to Graph Search

32 - Elements of Graph Search

33 - Types of Search Algorithms

7 - Search AlgorithmsUninformed Search

34 - Uninformed Search Algorithms

35 - Breadth First Search

36 - Implementation of Breadth First Search in Python

37 - Depth First Search

38 - Implementation of Depth First Search in Python

39 - Depth Limited Search

40 - Iterative Deepening Search

41 - Uniform Cost Search

8 - Search AlgorithmsInformed Search

42 - Introduction to Informed Search Algorithms

43 - Best First Search

44 - Greedy Search Algorithm

45 - A Algorithm

9 - Local Search

46 - Introduction to Local Search

47 - Hill Climbing Method

48 - Variants of Hill Climbing Method

49 - Applications of Hill Climbing

10 - About the Program

50 - Course Conclusion

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تولید کننده: Udemy