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Artificial Intelligence-Computational Intelligence in Python
Rating: 4.2 out of 5(30 ratings)
144 students

Artificial Intelligence-Computational Intelligence in Python

Fundamentals of soft computing
Created byDr. Manish Kakar
Last updated 1/2022
English

What you'll learn

  • Students will learn the basic techniques of Computational Intelligence/ Soft computing including Fuzzy Logic Systems, Genetic Algorithm, Artificial Neural networks and Hybrid Intelligent Systems like ANFIS. This course is designed to explain these complex concepts of soft computing in an easy to understand and simplified manner with practical examples implemented in python.

Course content

5 sections • 33 lectures • 3h 32m total length

  • Introduction7:21

    This is a preview of the course covering the fundamentals of Computational Intelligence/ Soft computing including Fuzzy Logic Systems, Genetic Algorithm, Artificial Neural networks and Hybrid Intelligent Systems like ANFIS.

  • Introduction to computational intelligence6:03
  • Installation of Tools5:45

Requirements

  • Basic knowledge of python

Description

This course covers the fundamentals of Computational Intelligence/ Soft computing including Fuzzy Logic Systems, Genetic Algorithm, Artificial Neural networks, and Hybrid Intelligent Systems like Adaptive Neuro-Fuzzy Inference System (ANFIS). It is easy to understand for anyone interested in the field of Computational Intelligence and includes practical examples of the techniques implemented in Python.

Who this course is for:

  • This course is highly recommended for anyone interested in computational intelligence/soft computing. It will also be very helpful for students/data analyst looking for explaining AI models (XAI).

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