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Featured byQueen Mary University of London
Overview
No programming background is assumed, however if you want to take this course, you should be familiar with using computers.
This Practical Machine Learning course from Queen Mary University of London 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 aims
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.
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Visit programme websiteProgramme Structure
You will learn/develop:- basic commands in Python and learn how to manipulate data using this programming language
- how to use TensorFlowTM tools to optimise neural networks and convolutional neural networks as examples of machine-learning algorithms
- a comprehension of machine-learning algorithms and their use.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 22 days
Start dates & application deadlines
- Starting
- Apply before
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Language
English
IELTS 7
TOEFL® IBT 92
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Credits
15 alternative credits
Delivered
On Campus
Disciplines
Computer Sciences Machine Learning View 38 other Short Courses in Machine Learning in United KingdomExplore more key information
Visit programme websiteAcademic requirements
GPA 3
English requirements
IELTS 7
TOEFL® IBT 92
Interested in IELTS preparation material? Get started here
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Queen Mary University of London and/or in United Kingdom, please visit Student Insurance Portal.
Other requirements
General requirements
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:- if your home institution uses the four-point Grade Point Average (GPA) scale, we usually require a 3.0 GPA
- if your home institution uses the letter scale, you will need to have a B+
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
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International
2415 GBP/fullTuition FeeBased on the tuition of 2415 GBP for the full programme during 22 days. -
National
2415 GBP/fullTuition FeeBased on the tuition of 2415 GBP for the full programme during 22 days.
- One Session £2415
- Both Sessions £4588
Living costs for London
1137 - 2157 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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