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Introduction to Genetic Algorithms: Theory and Applications

Perfect introduction to life sciences for beginners starting their learning journey.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Get started with life sciences from absolute basics
Understand core concepts and terminology
Master the fundamentals of life sciences
Apply best practices and industry standards

Skills you'll gain:

Professional SkillsBest PracticesIndustry Standards
Prerequisites & Target Audience

Skill Level

BeginnerPerfect for those new to the subject

Requirements

No prior experience required
Basic computer literacy
Willingness to learn and practice
Access to a computer with internet connection

Who This Course Is For

Anyone interested in learning life sciences
Career changers looking to enter the field
Students wanting to expand their skill set
Professionals seeking to understand the basics
Course Information

About This Course

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. Here is the list of topics covered:The inspiration of the Genetic Algorithm Selection or survival of the fittest Recombination or crossover Mutation Elitism Implementation Application I am proud of 200+ 5-star reviews. Some of the reviews are as follows: Femi said: "I really enjoyed the instructor style of explanation.

Provider
Udemy
Estimated Duration
8-15 hours
Language
English
Category
Science & Academia

Topics Covered

Life SciencesBeginner Friendly

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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