United Kingdom, London

Practical Machine Learning

when 22 July 2019 - 9 August 2019
language English
duration 3 weeks
credits 7.5 ECTS
fee GBP 1650

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.

Course leader

Dr Adrian Bevan

Target group

Undergraduate Students

Course aim

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.

Credits info

7.5 ECTS
You will study one course per Queen Mary Summer School session. Each course is worth 15 Queen Mary credits.
Usually, the 15 credits we award for each three-week Queen Mary Summer School session translate to 3–4 credits in the US system and 7.5 ECTS in the European system.
Your home institution should confirm if they will grant credit for Summer School courses. Whilst we will do everything we can to support you throughout the Summer School application process, it's your responsibility to check with your home institution if you can transfer credit from the Summer School prior to arriving at Queen Mary.

Fee info

GBP 1650: The Queen Mary Summer School costs: £1,650 per session.
We are offering a 10% early bird discount for those who apply before 31 March 2019.
From 31 March onwards we will offer a 10% discount to:
• Students and staff from partner institutions
• Alumni
• Current Queen Mary students
Accommodation
On campus accommodation will cost approximately £500 per session.
Additional costs and course excursions
Please note that some courses have some additional fees not included in the tuition fee. These fees are for activities and field trips that may take place away from our campus. We will give further details of these costs in due course.
Please note there is no deposit payment required for the Queen Mary Summer School.
GBP 50: There is a non-refundable application fee of £50.

Scholarships

There are no scholarships available for this course

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