Overview
The Machine Learning course from UCL Summer School introduces major areas of traditional machine learning and covers the key tools (and theorems) within these areas, illustrating them with practical examples.
The module is delivered through a mixture of lectures and classes, involving traditional lecture delivery, interactive notebooks and problem sets.
Learning outcomes
By the end of the module, students will have:
- Recognised some of the key elements of the theoretical foundations of some of the main areas of machine learning.
- Combined and used the mathematical results to motivate a handful of core machine learning algorithms applied to these key areas.
- Judged the limitations of such algorithms.
- Applied the Python working environment associated with much of practical machine learning.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Continuous Maths Recap
- Regression
- Classification
- Model Selection
- Kernel Methods
- Support Vector Machine
- Dimensionality Reduction
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 19 days
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
- 15 UCL credits, 7.5 ECTS, 4 US
Delivered
Campus Location
- London, United Kingdom
Disciplines
Machine Learning View 22 other Short Courses in Machine Learning in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
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AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- IELTS (Academic) at least 6.5 overall and 6.0 in each component or equivalent
You will normally be able to demonstrate an average grade, or equivalent academic experience, of:
- 2:1 for most modules
- 2:2 for lower-level modules, if you are in or beyond second year at university.
- Introductory undergraduate knowledge of Linear Algebra, Calculus, Probability and Statistics, plus basic Python proficiency and a laptop
Make sure you meet all requirements
Visit programme websiteTuition Fees
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International Applies to you
Applies to youNon-residents2995 GBP / full≈ 2995 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents2995 GBP / full≈ 2995 GBP / full
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.