Apply Creative Machine Learning
Discover the creative side of machine learning with this free course using hands-on examples.
Explore how machine learning is revolutionising the creative industries
From photography to music, creative AI is changing the way we interact with technology.
On this course, you’ll learn the core concepts of what machine learning is, and how machine learning works. You’ll learn how to build simple classification systems that can discriminate between different types of information, and regressions systems that can map interactions onto different outputs, like sliders on a synthesiser.
You’ll explore the full extent of machine learning systems’ abilities, specifically in relation to the creative industries.
What topics will you cover?
- Basic JavaScript (via a provided crash course as additional content)
- What machine learning is
- What creative machine learning is
- How to create simple machine learning systems in javascript
- How to better understand core concepts in machine learning
- Understanding classification
- Understanding regression
Who is the course for?
This course is aimed at people who would like to work in the creative industries and want to know how machine learning can be used in that context. The course is also valuable for students considering a master’s degree in creative computing and want to know what it would involve, or people wanting to become a machine learning engineer in general.
You might also be interested in the other courses in the Essential Creative Technologies collection from UAL Creative Computing Institute, Lancaster University and the Institute of Coding.
What software or tools do you need?
Completing the course will require a basic level of knowledge of modern web development including the programming languages HTML, JavaScript and CSS. You will need a laptop with a webcam to do some of the exercises in this course. Apart from that, all examples and coding activities require an internet browser, preferably Google Chrome or Mozilla’s Firefox.
