Description
AI and meta-heuristics (combinatorial optimization) Python published by Udemy Academy. Graphical algorithms, genetic algorithms, simulated annealing, swarm intelligence, discovery, minimax and meta-heuristics.
This course covers the fundamental concepts of artificial intelligence and meta-heuristics with Python. This topic is very hot nowadays because these learning algorithms can be used in several fields ranging from software engineering to investment banking. Learning algorithms can recognize patterns that can help diagnose cancer, for example. We can build algorithms that make very good estimates of how stock prices will move in the market. In the first few chapters, we will talk about the basic graph algorithms – breadth-first search (BFS), depth-first search (DFS), and A* search algorithms. Several advanced algorithms can be solved using graphs, so I think these algorithms are very important. The next chapters focus on heuristics and meta-heuristics. We will consider the theory as well as the implementation of simulated annealing, genetic algorithms and particle swarm optimization – with several problems like the famous Queen N problem, the traveling salesman problem (TSP), etc. .
What you will learn in the Python AI and meta-heuristics (combinatorial optimization) course:
- Understand why artificial intelligence is important
- Understand routing algorithms (BFS, DFS and A* search)
- Understand heuristics and meta-heuristics.
- Understanding Genetic Algorithms
- Understanding Particle Swarm Optimization
- Understanding simulated annealing.
Who should attend :
- Beginner Python programmers are curious about artificial intelligence and hybrid optimization.
Course Specifications
- Editor: Udemy
- Instructor: Holczer Balazs
- French language
- Training level: Introductory to Advanced
- Number of courses: 196
- Training duration: 17 hours and 32 minutes
Course themes 2022/12
Course prerequisites
No programming experience required. You will learn everything you need to know.
Pictures
Introductory video to AI and meta-heuristics (combinatorial optimization) Python
installation guide
After the clip, watch with your favorite reader.
english subtitles
Quality: 720p
Download link
password file(s): free download software
File size
4.42 GB