Artificial Intelligence #7 : Genetic Algorithm Optimization
Artificial Intelligence #7 : Genetic Algorithm Optimization, available at $19.99, has an average rating of 2.25, with 18 lectures, based on 22 reviews, and has 1562 subscribers.
You will learn about You'll know the ideas behind Genetic Algorithm. You'll learn basic Genetic Algorithm operators. You'll know how mutation works in Genetic Algorithm. You'll learn how cross over operator works in Genetic Algorithm. You'll know how to optimize simple functions. You'll know how to find optimum point for complicated Trigonometric functions. You'll learn how to solve well known problems like Travelling Salesman Problem (TSP). This course is ideal for individuals who are Anyone who wants to learn Genetic Algorithm Optimization Method. or Anyone who wants to learn Deap library. or Learners who want to work in data science and big data field or students who want to learn machine learning or Data analyser, Researcher, Engineers and Post Graduate Students need accurate and fast regression method. or Modelers, Statisticians, Analysts and Analytic Professional. It is particularly useful for Anyone who wants to learn Genetic Algorithm Optimization Method. or Anyone who wants to learn Deap library. or Learners who want to work in data science and big data field or students who want to learn machine learning or Data analyser, Researcher, Engineers and Post Graduate Students need accurate and fast regression method. or Modelers, Statisticians, Analysts and Analytic Professional.
Enroll now: Artificial Intelligence #7 : Genetic Algorithm Optimization
Summary
Title: Artificial Intelligence #7 : Genetic Algorithm Optimization
Price: $19.99
Average Rating: 2.25
Number of Lectures: 18
Number of Published Lectures: 18
Number of Curriculum Items: 18
Number of Published Curriculum Objects: 18
Original Price: £69.99
Quality Status: approved
Status: Live
What You Will Learn
- You'll know the ideas behind Genetic Algorithm.
- You'll learn basic Genetic Algorithm operators.
- You'll know how mutation works in Genetic Algorithm.
- You'll learn how cross over operator works in Genetic Algorithm.
- You'll know how to optimize simple functions.
- You'll know how to find optimum point for complicated Trigonometric functions.
- You'll learn how to solve well known problems like Travelling Salesman Problem (TSP).
Who Should Attend
- Anyone who wants to learn Genetic Algorithm Optimization Method.
- Anyone who wants to learn Deap library.
- Learners who want to work in data science and big data field
- students who want to learn machine learning
- Data analyser, Researcher, Engineers and Post Graduate Students need accurate and fast regression method.
- Modelers, Statisticians, Analysts and Analytic Professional.
Target Audiences
- Anyone who wants to learn Genetic Algorithm Optimization Method.
- Anyone who wants to learn Deap library.
- Learners who want to work in data science and big data field
- students who want to learn machine learning
- Data analyser, Researcher, Engineers and Post Graduate Students need accurate and fast regression method.
- Modelers, Statisticians, Analysts and Analytic Professional.
Do you like to know the basic theory behind Genetic Algorithm Optimization Method?
Do you like to learn how to solve optimization problems like Min/Max finding with Genetic Algorithm Optimization Method?
Do you like to know how to solve Travelling Salesman Problem (TSP) with a few lines of codes an Genetic Algorithm?
If you say Yesso read more …
In computer science and operations research, a genetic algorithm (GA) is a meta heuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection.
In this course I want to learn you theory behind Genetic Algorithm Optimization Method. You’ll learn basic genetic operators like mutation crossover and selection and how they are work.
Then we go further you will learn how to use python and deap library to solve optimization problem and find Min/Max points for your desired functions.
In the 1st section you’ll learn theory of Genetic Algorithm Optimization Method
In the 2ndsection you’ll know how to use python anddeap to optimize simple functionprecisely.
In the 3rd section you’ll learn how to use python anddeap to find optimum point of complicated Trigonometric function.
In the 4thsection you’ll know how to use python anddeap to solve Travelling Salesman Problem (TSP)accurately.
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Important information before you enroll:
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In case you find the course useless for your career, don’t forget you are covered by a 30 day money back guarantee, full refund, no questions asked!
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Once enrolled, you have unlimited, lifetime access to the course!
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You will have instant and free access to any updates I’ll add to the course.
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You will give you my full support regarding any issues or suggestions related to the course.
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Check out the curriculum and FREE PREVIEW lecturesfor a quick insight.
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Best Regrads,
Sobhan
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Required Softwares and Libraries
Chapter 2: Genetic Algorithm Optimization Method
Lecture 1: Genetic Algorithm Optimization Method Theory
Chapter 3: Optimize simple function by GA using deap library and python
Lecture 1: Optimize simple function by GA using deap library and python – Part 1
Lecture 2: Optimize simple function by GA using deap library and python – Part 2
Lecture 3: Optimize simple function by GA using deap library and python – Part 3
Lecture 4: Optimize simple function by GA using deap library and python – Part 4
Lecture 5: Optimize simple function by GA using deap library and python – Source Code
Chapter 4: Find optimum point of complicated Trigonometric function
Lecture 1: Find optimum point of complicated Trigonometric function – Part 1
Lecture 2: Find optimum point of complicated Trigonometric function – Part 2
Lecture 3: Find optimum point of complicated Trigonometric function – Part 3
Lecture 4: Find optimum point of complicated Trigonometric function – Part 4
Lecture 5: Find optimum point of complicated Trigonometric function – Source Code
Chapter 5: Solve well know optimization problem "Traveling Salesman Problem" using GA
Lecture 1: Solve well know optimization problem "Traveling Salesman Problem" using GA Part1
Lecture 2: Solve well know optimization problem "Traveling Salesman Problem" using GA Part2
Lecture 3: Solve well know optimization problem "Traveling Salesman Problem" using GA Part3
Lecture 4: Solve well know optimization problem "Traveling Salesman Problem" using GA Part4
Lecture 5: Solve well know optimization problem "Traveling Salesman Problem" using GA Sourc
Instructors
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Sobhan N.
AI Developer|Electrical Engineer (PhD)|21,000+ Students
Rating Distribution
- 1 stars: 8 votes
- 2 stars: 2 votes
- 3 stars: 3 votes
- 4 stars: 4 votes
- 5 stars: 5 votes
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