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Practical Machine Learning

Queen Mary University of London
3 weeks
Bachelor's degree
London
English
Program description

Program description

Practical Machine Learning

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.

Admission requirements

A minimum of two semesters university-level study

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About school

Queen Mary University of London

Queen Mary University of London is one of the UK's leading research universities, committed to improving social justice and achieving the previously unthinkable. Starting life in 1887 as the People’s Palace, a Victorian philanthropic project, Queen Mary has always aimed...


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Reviews

Mikel Maiza
(5)
Excellent course: excellent leader + teacher, excellent content structure, excellent teaching delivery, excellent balance between lectures and tutorials. Working on the assignments and the quizzes was just great!

Contact info

Queen Mary University of London

Mile End Road,
E1 4NS, London

Reviews
Practical Machine Learning
Program rating
(5.0)
Based on 1 reviews

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