Download Udemy – AI and Meta-Heuristics (Combinatorial Optimization) Python 2022-8

AI and Meta-Heuristics (Combinatorial Optimization) Python

Description

AI and Meta-Heuristics (Combinatorial Optimization) Python is a course on artificial intelligence and meta-heuristics (combinatorial optimization) of Python published by Udemy Academy. Graph algorithms, genetic algorithms, simulated annealing, swarm intelligence, discovery, minimax and meta-heuristics.

This course is about 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 from software engineering to investment banking. Learning algorithms can recognize patterns that can help diagnose cancer, for example. We may build algorithms that make very good guesses about the movement of stock prices in the market. In the first chapters we are going to talk about basic graph algorithms – breadth first search (BFS), depth first search (DFS) and A* search algorithms. Several advanced algorithms can be solved with the help of graphs, so I think these algorithms are very important. The next chapters are about 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 such as the famous N queen problem, the traveling salesman problem (TSP), etc.

What you will learn in AI and Meta-Heuristics (Combinatorial Optimization) Python course:

  • Understanding why artificial intelligence is important
  • Understanding routing algorithms (BFS, DFS and A* search)
  • Understand heuristics and meta-heuristics.
  • Understanding Genetic Algorithms
  • Understanding particle swarm optimization
  • Understand simulated annealing.

Who is this course suitable for:

  • Beginner Python programmers are curious about artificial intelligence and hybrid optimization.

Course details

  • Publisher: Yudmi
  • teacher: Holczer Balazs
  • English language
  • Training level: introductory to advanced
  • Number of courses: 196
  • Training duration: 17 hours and 32 minutes

Course topics on 12/2022

Course prerequisites

No programming experience needed. You will learn everything you need to know.

Pictures

AI and Meta-Heuristics (Combinatorial Optimization) Python

Course introduction video

Installation guide

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English subtitle

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 1 GB

Download part 4 – 1 GB

Download part 5 – 420 MB

Password file(s): www.downloadly.ir

Size

4.42 GB

4.5/5 – (2353 points)

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