AI Academy #4: Learn Bio Inspired Optimization Methods A-Z

Learn Bio Inspired Optimization Methods like Genetic Algorithm and Particle Swarm Optimization. SourceCodes Included

3.40 (12 reviews)
Udemy
platform
English
language
Data Science
category
instructor
AI Academy #4: Learn Bio Inspired Optimization Methods A-Z
2,177
students
2.5 hours
content
Nov 2018
last update
$19.99
regular price

What you will learn

You'll know the ideas behind Genetic Algorithm.

You'll know the ideas behind Particle Swarm Optimization Method.

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

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).

You'll learn how to solve well known standard functions like Rastrign.

Why take this course?

🌱 **AI Academy #4: Master Bio Inspired Optimization Methods** 🚀 ### Course Headline: 🦖 **Learn Bio Inspired Optimization Methods like Genetic Algorithm and Particle Swarm Optimization.** SourceCodes Included! ### Course Description: Are you intrigued by the power of Genetic Algorithm and Particle Swarm Optimization? Eager to solve complex problems with elegance and efficiency? Look no further! This comprehensive course is designed to demystify bio-inspired optimization methods and equip you with the knowledge and skills to apply them effectively using Python and the DEAP library. **What You'll Learn:** 1. **Theory Behind Bio Inspired Algorithms** 📚 - Understand the fundamental concepts of Genetic Algorithm and Particle Swarm Optimization. - Learn about genetic operators like mutation and crossover, and selection processes. - Explore the intricacies of Particle Swarm Optimization. 2. **Practical Python Implementations with DEAP** 🐍 - Discover how to solve optimization problems to find Min/Max points using Genetic Algorithm, starting with simple functions and progressing to complex trigonometric functions. - Solve the Travelling Salesman Problem (TSP) accurately with just a few lines of code. 3. **Particle Swarm Optimization in Action** 🌪️ - Dive deeper into Particle Swarm Optimization. - Apply this method to solve optimization problems, from simple functions to challenging landscapes like the Rastrigin standard function. ### Course Features: - **Step-by-Step Learning** 🛠️ Learn at your own pace with clear, structured sections dedicated to each topic. - **Real-World Applications** 🌍 Apply what you learn to solve real-world problems using Python and DEAP. - **Hands-On Projects** 🖥️ Engage with interactive coding exercises to solidify your understanding of these algorithms. ### Important Details Before Enrollment: - **30 Day Money Back Guarantee** 💸 If you find the course isn't right for you, no worries! You'll get a full refund within 30 days, no questions asked. - **Lifetime Access** 🗝️ Once enrolled, you have unlimited access to all course materials—forever. - **Free Course Updates** ✏️ Any updates to the course content are yours at no extra cost. - **Full Support from the Instructor** 🤝 Got questions or need help? Sobhan is here for you with full support and guidance. - **Free Preview Lectures** 👀 Check out some free lectures to get a taste of what the course has to offer before you commit. ### Take Action Now! Don't let this opportunity pass you by. With each second, you're investing in your future and opening doors to a world of optimization and problem-solving. 🚫👈🕒 Click the "Take This Course" button and embark on a journey to master Bio Inspired Optimization Methods with AI Academy #4. Your future self will thank you! Best Regards, Sobhan N.

Reviews

Tharindu
July 13, 2019
This course is amazing and above my expectations! Very good exercises, good speed, well communicated. The instructor made me feel very comfortable and was able to take many things away. Excellent content and very knowledgeable instructor!

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2005070
udemy ID
11/3/2018
course created date
6/23/2019
course indexed date
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