Udemy

Artificial Neural Network and Machine Learning using MATLAB

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  • 1,650 Students
  • Updated 9/2025
  • Certificate Available
4.5
(465 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 26 Minute(s)
Language
English
Taught by
Nastaran Reza Nazar Zadeh
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.5
(465 Ratings)
4 views

Course Overview

Artificial Neural Network and Machine Learning using MATLAB

Learn to Create Neural Network with Matlab Toolbox and Easy to Follow Codes; with Comprehensive Theoretical Concepts

This course is uniquely designed to be suitable for both experienced developers seeking to make that jump to Machine learning or complete beginners who don't understand machine learning and Artificial Neural Network from the ground up.

In this course, we introduce a comprehensive training of multilayer perceptron neural networks or MLP in MATLAB, in which, in addition to reviewing the theories related to MLP neural networks, the practical implementation of this type of network in MATLAB environment is also fully covered.

MATLAB offers specialized toolboxes and functions for working with Machine Learning and Artificial Neural Networks which makes it a lot easier and faster for you to develop a NN.

At the end of this course, you'll be able to create a Neural Network for applications such as classification, clustering, pattern recognition, function approximation, control, prediction, and optimization.

Course Content

  • 7 section(s)
  • 53 lecture(s)
  • Section 1 Introduction
  • Section 2 Artificial Intelligence and Machine Learning
  • Section 3 Fundamentals of Artificial Neural Network
  • Section 4 MATLAB: Neural Net Fitting Tool
  • Section 5 MATLAB: Scripts
  • Section 6 MATLAB: Modified Advance Script
  • Section 7 MATLAB: Engine Data Set (Multiple Targets)

What You’ll Learn

  • Develop a multilayer perceptron neural networks or MLP in MATLAB using Toolbox
  • Apply Artificial Neural Networks in practice
  • Building Artificial Neural Network Model
  • Knowledge on Fundamentals of Machine Learning and Artificial Neural Network
  • Understand Optimization methods
  • Understand the Mathematical Model of a Neural Network
  • Understand Function approximation methodology
  • Make powerful analysis
  • Knowledge on Performance Functions
  • Knowledge on Training Methods for Machine Learning

Reviews

  • G
    Girolama Airò Farulla
    5.0

    I like it very much. The notions are well explained, and the examples are very effective. Highly recommended course!

  • M
    Meghana M.R
    5.0

    it is very good

  • p
    prasun choudhary
    5.0

    Please let me complete it. Till this section, everything is excellent.

  • O
    Osama Alawi
    5.0

    very valuable course

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