• Application Deadline
  • 19 days
    Duration
The Practical Machine Learning course offered by Queen Mary University of London 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.  

About

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 Practical Machine Learning course offered by 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.

Detailed Programme Facts

Programme Structure

You will be taught through a combination of lectures, laboratory work, and workshops.

Learning outcomes

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
You will develop/be able to:
  • understand the principles of optimisation algorithms and the role of activation functions in neural networks
  • understand the concept of overtraining of hyperparameters for a machine-learning algorithm, and how that can be spotted using data samples
  • understand the concept of the Receiver Operating Characteristic (ROC) curve and how the area under this curve can be used to select models based on the ability to separate signal from background
  • demonstrate information expertise through the portfolio of work that you will build during this course

Lecturers

Academic Lead: Dr Adrian Bevan 

English Language Requirements

You only need to take one of these language tests:

  • Minimum required score:

    92

    The TOEFL iBT ® measures your English-language abilities in an academic setting. The test has four sections (reading, listening, speaking, and writing), each with a score range of 0-30, for a total score range of 0-120. Read more about TOEFL iBT ®.

    Schedule TOEFL®
  • Minimum required score:

    6.5

    The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.

    Schedule IELTS

    StudyPortals Tip: The UK government has confirmed new English-language testing requirements for visa and immigration purposes. Learn more

  • Minimum required score (Grade B2):

    176

    C1 Advanced is a Cambridge English Qualification. It reports on the Cambridge English Scale between 142 and 210. You will receive a separate score for each of the four skills (reading, writing, listening and speaking) and for Use of English. These five scores are averaged to give you an overall result for the exam. Universities and colleges may ask you to achieve a specific score, either overall or for a particular skill.

    Note: degree programmes and applications may require a more specific minimum score for admission.

Academic Requirements

You need the following GPA score:

Required score: 3

Applicants for graduate programs must have the equivalent of a bachelor’s degree with a minimum GPA equivalent to 3 on a US 4.0 grading scale. Admitted applicants typically have an undergraduate GPA of or better on a 4.0 scale. No exam grade should be lower than 4.5 (European grade scale) or D (American grade scale).

Your GPA (Grade Point Average) is calculated using the grades that you received in each course, and is determined by the points assigned to each grade (e.g. for the US grading scale from A-F).

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+

We welcome international qualifications and we consider every application individually on its academic merit.

Tuition Fee

  • International

    1650 GBP/module
    Tuition Fee
    Based on the original amount of 1650 GBP per module and a duration of 19 days.
  • EU/EEA

    1650 GBP/module
    Tuition Fee
    Based on the original amount of 1650 GBP per module and a duration of 19 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

The cost of accommodation is approximately £500 per session.

Living costs for London

  • 1137 - 2160 GBP/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

We offer a 10% discount to:

  • Students and staff from partner institutions
  • Alumni
  • Current Queen Mary students 

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

The Global Study Awards: get funded with up to £10,000 to study abroad

Together with the ISIC Association and British Council IELTS, Studyportals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.