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Summer School - Practical Machine Learning, 2022, Queen Mary University of London, UK

Publish Date: Mar 30, 2022

Deadline: Mar 30, 2022

Event Dates: from Jul 18, 2022 12:00 to Aug 05, 2022 12:00

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

 

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 EC
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.

Fee info
GBP 1900: The Queen Mary Summer School costs: £1,900 per session.
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 £877 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.

Scholarships
There are no scholarships available for this course.

For further information, please click the "LINK TO ORIGINAL" button below.

Further Official Information

Link to Original

Similar Opportunities


Disciplines

Data Sciences

Science

Social Media

Technology

Study Levels

BA

Undergraduate

Eligible Countries

International

Host Countries

United Kingdom