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Learner Reviews & Feedback for Machine Learning and its Applications by University of Glasgow
47 ratings
About the Course
This course provides a practical introduction to machine learning techniques for data analysis in MATLAB, focusing on widely used methods for real-world technical applications.
You will begin by exploring the core concepts behind machine learning, including model workflows, data preparation, and the factors that affect model performance. The course then focuses on two popular techniques—support vector machines and artificial neural networks—as well as MATLAB apps that make model building and evaluation more accessible.
Using practical examples, you will prepare data, build machine learning workflows, and apply classification and regression methods to science and engineering problems. By the end of the course, you will be able to use MATLAB to develop, test, and evaluate predictive models for real-world applications.
In partnership with MathWorks, enrolled learners receive access to MATLAB for the duration of the course.
Top reviews
JJ
Nov 22, 2025
The support from teaching staff is timely and helpful.
MM
Nov 21, 2025
The pacing is perfect: conceptual overview first, then data prep, then deep dives—no cognitive overload at any point.
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26 - 34 of 34 Reviews for Machine Learning and its Applications
By Jonathan
•Nov 22, 2025
The support from teaching staff is timely and helpful.
By Dominic
•Dec 1, 2025
The lectures are well structured and easy to follow.
By Alexander
•Dec 1, 2025
After it, I can debate AI with my advisor. So great
By Silas
•Nov 22, 2025
SVMs finally make sense thanks to the visual demos.
By Frederick
•Nov 22, 2025
Clear explanations make complex ideas accessible.
By Yang
•Dec 1, 2025
Really useful!
By Fyi
•Nov 19, 2025
I like this
By ROJ
•Nov 17, 2025
Great
By Xuxi
•Nov 17, 2025
Nice