Artificial Intelligence With Fuzzy Logic And Python

Free Download Artificial Intelligence With Fuzzy Logic And Python
Published 8/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 219.57 MB | Duration: 0h 30m
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
Requirements
Conventional OS (Windows, Mac, etc)
Basic python background
Basic control theory concepts
Engineering background
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 intelligence 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.
Overview
Section 1: Introduction
Lecture 1 Brief overview of the course, what is fuzzy logic and its relationship with AI.
Section 2: Fuzzy logic elements
Lecture 2 Universe of discourse and linguistic variables
Lecture 3 Membership functions
Lecture 4 Fuzzification, inference and defuzzification
Section 3: Applied example with Python
Lecture 5 SciKit Fuzzy Introduction
Lecture 6 Coding example
Section 4: Conclusions
Lecture 7 Conclusions & future potential topics
People who want a practical way of applying artificial intelligence
Homepage

https://www.udemy.com/course/artificial-intelligence-with-fuzzy-logic-and-python/

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