Skip to content Skip to sidebar Skip to footer

Introduction to Genetic Algorithms: Theory and Applications

Introduction to Genetic Algorithms: Theory and Applications
bestseller udemy course
Introduction to Genetic Algorithms: Theory and Applications
Become indispensable to any company with the hottest IT skills. Start Your Course Today. Join Over 50 Million People Learning Online at Udemy! PySpark. Save up to 90%! REST APIs With Flask. 30-Day Money Guarantee. Object-Oriented. TensorFlow Library.BESTSELLER
by Prof. Seyedali Mirjalil

What you'll learn

  • Use the Genetic Algorithm to solve optimization problems
  • Modify or improve the Genetic Algorithm
  • Analyze the performance of the Genetic Algorithm

Description
This is an introductory course to the Genetic Algorithms. We will cover the most fundamental concepts in the area of nature-inspired Artificial Intelligence techniques. Obviously, the main focus will be on the Genetic Algorithm as the most well-regarded optimization algorithm in history.  The Genetic Algorithm is a search method that can be easily applied to different applications including Machine Learning, Data Science, Neural Networks, and Deep Learning.

With over 10 years of experience in this field, I have structured this course to take you from novice to expert in no time. Each section introduces one fundamental concept and takes you through the theory and implementation. The course is concluded by solving several case studies using the Genetic Algorithm.

Most of the lectures come with coding videos. In such videos, the step-by-step process of implementing the optimization algorithms or problems are presented. We have also a number of quizzes and exercises to practice the theoretical knowledge covered in the lectures.
Online Course CoupoNED
Online Course CoupoNED I am very happy that there are bloggers who can help my business

Post a Comment for "Introduction to Genetic Algorithms: Theory and Applications"

Subscribe via Email