Artificial Intelligence #8 - Particle Swarm Optimization

Artificial Intelligence #8 : Particle Swarm Optimization, available at $39.99, has an average rating of 2.8, with 20 lectures, based on 17 reviews, and has 1582 subscribers.

You will learn about Youll know the ideas behind Particle Swarm Optimization Method. Youll learn how to write programs with python and deap library to solve Min/Max problem. Youll learn how particles work to find the optimum point of the function Youll learn how cognitive and social coefficients are work. Youll know how to optimize simple functions. Youll know how to find optimum point for complicated Trigonometric functions. Youll learn how to solve well known standard functions like Rastrign. This course is ideal for individuals who are Anyone who wants to learn Particle Swarm 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 Particle Swarm 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 #8 : Particle Swarm Optimization

Summary

Title: Artificial Intelligence #8 : Particle Swarm Optimization

Price: $39.99

Average Rating: 2.8

Number of Lectures: 20

Number of Published Lectures: 20

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 20

Original Price: ￡69.99

Quality Status: approved

Status: Live

What You Will Learn

Youll know the ideas behind Particle Swarm Optimization Method.

Youll learn how to write programs with python and deap library to solve Min/Max problem.

Youll learn how particles work to find the optimum point of the function

Youll learn how cognitive and social coefficients are work.

Youll know how to optimize simple functions.

Youll know how to find optimum point for complicated Trigonometric functions.

Youll learn how to solve well known standard functions like Rastrign.

Who Should Attend

Anyone who wants to learn Particle Swarm 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 Particle Swarm 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 Particle Swarm? Optimization Method?

Do you like to learn how to solve optimization problems like Min/Max finding? with Particle Swarm Optimization Method?

Do you like to know how to find minimum of Rastriginstandard optimizationfunction with a few lines of codes an Particle Swarm?

If you say Yesso read more

In computational science, Particle Swarm Optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. It solves a problem by having a population of candidatesolutions, or particles, and moving these particles around in the search-space according to simple mathematical formula over the particle’s position and velocity.

In this course I want to learn you theory behind Particle SwarmOptimization Method. You’ll learn basic concepts of Particle Swarm 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 Particle Swarm Optimization Method

In the 2ndsection you’ll know how to use python and?deap to optimize simple functionprecisely.

In the 3rd section you’ll learn how to use python and?deap to find optimum point of complicated Trigonometric function.?

In the 4thsection you’ll know how to use python and?deap to solve? Rastrigin standard functionaccurately.

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Important information before you enroll:

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!

Once enrolled, you have?unlimited, lifetime access to the course!

You will have?instant and free access to any updates?I’ll add to the course.

I will give you?my full support?regarding any issues or suggestions related to the course.

Check out the curriculum and?FREE PREVIEW?lectures?for 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: Particle Swarm Optimization Theory

Lecture 1: Particle Swarm Optimization Theory

Chapter 3: 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 – Part 5

Lecture 6: Find optimum point of complicated Trigonometric function – Part 6

Lecture 7: Find optimum point of complicated Trigonometric function – Source Code

Chapter 4: Solve Min/Max problem using Particle Swarm Optimization

Lecture 1: Solve Min/Max problem using Particle Swarm Optimization – Part 1

Lecture 2: Solve Min/Max problem using Particle Swarm Optimization – Part 2

Lecture 3: Solve Min/Max problem using Particle Swarm Optimization – Part 3

Lecture 4: Solve Min/Max problem using Particle Swarm Optimization – Part 4

Lecture 5: Solve Min/Max problem using Particle Swarm Optimization – Part 5

Lecture 6: Solve Min/Max problem using Particle Swarm Optimization – Part 6

Lecture 7: Solve Min/Max problem using Particle Swarm Optimization – Source Code

Chapter 5: Find Minimum of Rastrign standard optimization function using PSO

Lecture 1: Find Minimum of Rastrign standard optimization function using PSO – Part 1

Lecture 2: Find Minimum of Rastrign standard optimization function using PSO – Part 2

Lecture 3: Find Minimum of Rastrign standard optimization function using PSO – Source Code

Instructors

Sobhan N.
AI Developer|Electrical Engineer (PhD)|21,000+ Students

Rating Distribution

1 stars: 5 votes

2 stars: 2 votes

3 stars: 2 votes

4 stars: 4 votes

5 stars: 4 votes

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