Artificial Intelligence with Fuzzy Logic and Python

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StatAi Solutions

29:49

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1 - Introduction

1 - Brief overview of the course what is fuzzy logic and its relationship with AI.mp4

05:09

2 - Fuzzy logic elements

2 - Universe of discourse and linguistic variables.mp4

03:37

3 - Membership functions.mp4

03:13

4 - Fuzzification inference and defuzzification.mp4

08:36

3 - Applied example with Python

5 - SciKit Fuzzy Introduction.mp4

01:43

6 - Coding example.mp4

04:26

6 - aircondexample4video.zip

4 - Conclusions

7 - Conclusions future potential topics.mp4

03:05

Description

Learn how to work with fuzzy logic in a practical way with Python

What You'll Learn?

Artificial intelligence
Concepts of fuzzy logic and applications for real examples
How to work with fuzzy logic and Python
Build programs based on Python for Fuzzy logic
Reasoning skills to generate your first fuzzy logic controller

Who is this for?

People who want a practical way of applying artificial intelligence

What You Need to Know?

Conventional OS (Windows, Mac, etc)

Basic python background

Basic control theory concepts

Engineering background

More details

Description
Fuzzy logic is a powerful tool for dealing with uncertainty and ambiguity, in a similar way in which we as humans tend to think. For this reason, it is said that fuzzy logic is inspired by human expertise and it allows computers to make decisions in situations where there is not enough information to make a yes or no answer. By learning fuzzy logic with Python, you can develop applications that can make decisions in the real world based on your expertise.
Here are some of the reasons why you should take this course are:

Fuzzy logic can be used in a wide variety of applications, such as control systems, robotics, image processing and so on. In other words, it can be used to solve real-world problems.
Python is a versatile language that can be used for a variety of tasks, including data science, machine learning, and control systems.
We will provide you several resources to help you learn fuzzy logic with Python, such as examples and codes.
The demand for artificial intelligenceÂ and Python skills is growing rapidly. Fuzzy logic can help you with problems which require you a simple solution when you have a short time to deliver a solution.

Who this course is for:
People who want a practical way of applying artificial intelligence

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We are Stat AI and our goal is to provide consultancy and educational services to engineers with the skills and knowledge when they need to apply AI to their work. We are a team of experienced engineers who have a deep understanding of AI and machine learning.Because our courses are aimed to engineer, you will learn by means of examples from real life so it can be easy for you the learning process. Thank you for your interest and do not hesitate to send us a message in relation to any topic that you'd like to learn in relationship to applied AI.

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