A very topical course, combining theory and practical aspects of machine learning with a view to forming capable professionals for the jobs market in this field.
Machine Learning is the scientific study of the ways in which computer systems can be programmed to perform a specific task without using explicit instructions, relying on patterns and inference instead through algorithms and statistical models.
An undergraduate degree in a cognate subject area.
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LJMU has an excellent employability record with 96% (HESA 2017) of our postgraduates in work or further study six months after graduation. Our applied learning techniques and strong industry connections ensure our students are fully prepared for the workplace on graduation and understand how to apply their knowledge in a real world context.
As a machine learning graduate, you can expect to be responsible for creating software, algorithms and mechanisms that support intelligent systems, that can learn and develop themselves as they operate. Self-driving cars, pattern recognising predictive systems, for instance, are examples of such systems. Machine Learning medical systems that can recognise patterns to predict health outcomes are becoming increasingly relevant for medical prediction and diagnosis.
You will provide computers with the automatic ability to learn, fine tune and improve performance with their own experience.
In addition, there are huge opportunities in research, both academic and in industry, developing new algorithms, systems and conducting experiments on intelligent systems.
Core Modules
Research Methods 20 credits
Project Dissertation 60 credits
Deep Learning Concepts and Techniques 20 credits
Accelerated Machine Learning 20 credits
Advanced Topics in Deep Learning 20 credits
Enterprise Machine Learning 20 credits
Foundations of Machine Learning 20 credits
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