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Overview
University College London (UCL) offers the Applied Machine Learning Systems - an Introduction programme.
Key facts
- You'll also learn how to apply machine learning technology to address various data science problems through a series of hands-on programming sessions.
- In these you'll use programming languages/platforms including Python and Tensorflow.
Programme Structure
Courses include:
- Supervised and unsupervised learning algorithms
- Kernel learning
- Neural networks
Key information
Duration
- Part-time
- 2 months
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
On Campus, Online
Campus Location
- London, United Kingdom
Disciplines
Machine Learning View 22 other Short Courses in Machine Learning in United KingdomWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This course is aimed at those working in the information and communications technology (ICT) industry such as researchers, engineers, IT professionals and managers.
- It's particularly suited to graduates in engineering and computer science who want to further their knowledge on a particular topic, or work towards a Master's degree.
- You don't need to have any pre-requisite qualifications to take this course, however you should know the basics of calculus, algebra, statistics and programming.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents1500 GBP / full≈ 1500 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents1500 GBP / full≈ 1500 GBP / full
Living costs
London
United Kingdom
1137 - 2157 GBP / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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