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Learner Reviews & Feedback for Machine Learning and its Applications by University of Glasgow

5.0
stars
47 ratings

About the Course

One of the most important applications of AI in engineering is classification and regression using machine learning. After taking this course, students will have a clear understanding of essential concepts in machine learning, and be able to fluently use popular machine learning techniques in science and engineering problems via MATLAB. Among the many machine learning methods, only those with the best performance and are widely used in science and engineering are carefully selected and taught. To avoid students getting lost in details, in contrast to teaching machine learning methods one by one, the first two lectures display the global picture of machine learning, making students clearly understand essential concepts and the working principle of machine learning. Data preparation is then introduced, followed by two popular machine learning methods, support vector machines and artificial neural networks. Practical cases in science and engineering are provided, making sure students have the ability to apply what they have learned in real practice. In addition, MATLAB classification and regression apps, which allow easy access to many machine learning methods, are introduced. In partnership with MathWorks, enrolled students have access to MATLAB for the duration of the course....

Top reviews

EE

Nov 21, 2025

This course gave me a crystal-clear "big picture" of machine learning in just two lectures—finally I understand where every algorithm lives in the ecosystem.

SS

Nov 21, 2025

By the end I could reproduce a published paper's result in half a day; the course genuinely bridged the gap between theory and publishable practice.

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26 - 36 of 36 Reviews for Machine Learning and its Applications

By Harrison

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Nov 22, 2025

Real-world examples help connect theory to application.

By Cassian

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Nov 22, 2025

Finished feeling confident to put “ML skills” on my CV.

By Jonathan

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Nov 22, 2025

The support from teaching staff is timely and helpful.

By Dominic

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Nov 22, 2025

The lectures are well-structured and easy to follow.

By Silas

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Nov 22, 2025

SVMs finally make sense thanks to the visual demos.

By Frederick

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Nov 22, 2025

Clear explanations make complex ideas accessible.

By Rhys

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Nov 22, 2025

Best ed-tech experience I’ve had in grad school.

By Yang

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Nov 19, 2025

Really useful!

By Fyi

•

Nov 19, 2025

I like this

By ROJ

•

Nov 17, 2025

Great

By Xuxi

•

Nov 18, 2025

Nice