Academic Lead: Dr Adrian Bevan
Machine learning influences modern life in many different avenues and is silently revolutionising the way we live and work. We can see the influence of machine-learning algorithms in social media, web search engines, mobile device spell checkers and self-driving cars. This course will give you an introduction to machine learning using the Python programming language and the TensorFlowTM programming toolkit from Google. No programming background is assumed, however if you want to take this course, you should be familiar with using computers.
This course is taught by scientists using machine learning for data analysis at CERN’s Large Hadron Collider and will allow you to work on practical examples from both general and physics-based problems. Examples will be drawn from a variety of problems in order to allow you to build up an understanding of the tools and how to use them. This will prepare you for a mini-project analysing data from a particle physics experiment to complement the examples encountered earlier in the course.
Download course syllabus: SUM401N_Practical-machine_learning_2023.pdf [PDF 63KB]
Course content is subject to change.
This is a practical course that provides you with an introduction to the concepts of machine learning and the application of algorithms to several types of available data samples. In order to achieve this, you will be introduced to the Python programming language and key concepts related to the TensorFlowTM programming toolkit. You will learn how to train machine-learning algorithms and evaluate their performance on image data and scientific data from the Large Hadron Collider. We will develop your programming skills so that you can explore the potential benefits of deep-learning algorithms.
2023 Practical Machine Learning Syllabus [PDF 63KB]
You will be taught through a combination of lectures, laboratory work, and workshops.
You will learn/develop:
You will develop/be able to:
The Queen Mary Summer School costs: £2,100 per session, which includes tuition and social program.
We offer a 10% discount to:
The cost of accommodation is £1029 per session. For further information, please visit our accommodation page.
Additional costs and course excursions
There may be additional costs for field trips, such as entry to exhibitions, which will be in the region of £30.All reading material will be provided online, so it is not necessary to purchase any books.
Please note there is no deposit payment required for the Queen Mary Summer School.
To join our Summer School, you should have completed a minimum of two semesters’ study at your home institution.
We welcome Summer School students from around the world. We accept a range of qualifications:
We welcome international qualifications and we consider every application individually on its academic merit.
All of our courses are taught and assessed in English. If English isn’t your first language, you must meet one of the following English Language requirements in order to join the Queen Mary Summer School:
Applications are now open!
Have a question? Get in touch - one of the team will be happy to help!
Applications close 29 May 2023.
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