Artificial Intelligence: Path Finding Algorithms
Artificial Intelligence: Path Finding Algorithms, available at $49.99, has an average rating of 4.75, with 11 lectures, based on 2 reviews, and has 42 subscribers.
You will learn about The depth-first algorithm (DFS) and its implementation The breadth-first algorithm (BFS) and its implementation The A* search algorithm and its implementation Artificial intelligence in robotics and video games Tree traversal Graph traversal Python, through practice Data structures, through practice This course is ideal for individuals who are Those who are interested in artificial intelligence or Developers who want to introduce artificial intelligence into their projects or Those who want to implement the main pathfinding algorithms It is particularly useful for Those who are interested in artificial intelligence or Developers who want to introduce artificial intelligence into their projects or Those who want to implement the main pathfinding algorithms.
Enroll now: Artificial Intelligence: Path Finding Algorithms
Summary
Title: Artificial Intelligence: Path Finding Algorithms
Price: $49.99
Average Rating: 4.75
Number of Lectures: 11
Number of Published Lectures: 11
Number of Curriculum Items: 11
Number of Published Curriculum Objects: 11
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will Learn
- The depth-first algorithm (DFS) and its implementation
- The breadth-first algorithm (BFS) and its implementation
- The A* search algorithm and its implementation
- Artificial intelligence in robotics and video games
- Tree traversal
- Graph traversal
- Python, through practice
- Data structures, through practice
Who Should Attend
- Those who are interested in artificial intelligence
- Developers who want to introduce artificial intelligence into their projects
- Those who want to implement the main pathfinding algorithms
Target Audiences
- Those who are interested in artificial intelligence
- Developers who want to introduce artificial intelligence into their projects
- Those who want to implement the main pathfinding algorithms
In this course, we will discover and implement three main artificial intelligence algorithms for finding paths in grids, graphs or trees.
We will implement:
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The depth-first-first algorithm (DFS)
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The breadth-first algorithm (BFS)
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The A* search algorithm
We will apply these different algorithms to a robotics problem, enabling a robot to find its path in a room. Beyond robotics, these algorithms are ubiquitous and we will implement them in a generic way, allowing you to apply them to other problems.
This course is taught using the Python programming language and requires basic programming skills. If you do not have the required knowledge, I recommend that you brush up on your programming skills by taking a crash course in programming. Although Python is used, we will implement the various algorithms from scratch, which will allow you to easily implement them in other programming languages.
This course is primarily aimed at students, researchers, and developers who would like to add artificial intelligence to their projects, as well as artificial intelligence enthusiasts.
Concepts covered:
-
The depth-first-first algorithm (DFS) and its implementation
-
The breadth-first algorithm (BFS) and its implementation
-
The A* path search algorithm and its implementation
-
Artificial intelligence in robotics and video games
-
Tree traversal (depth and width)
-
Graph traversal
Don’t wait any longer before jumping into the world of artificial intelligence!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Getting started
Lecture 3: Robotic problem
Chapter 2: Depth-first search (DFS) algorithm
Lecture 1: Theory
Lecture 2: Pseudocode
Lecture 3: Python implementation – Part 1
Lecture 4: Python implementation – Part 2
Chapter 3: Breadth-first search (BFS) algorithm
Lecture 1: Theory + implementation
Chapter 4: A* search algorithm
Lecture 1: Theory + implementation
Chapter 5: Graph traversal algorithms & conclusion
Lecture 1: Graph traversal algorithms
Lecture 2: Conclusion
Instructors
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Maxime Vandegar
Ingénieur de recherche
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- 3 stars: 0 votes
- 4 stars: 1 votes
- 5 stars: 1 votes
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