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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.
Programme Structure
Courses include:
- Continuous Maths Recap
- Regression
- Classification
- Model Selection
- Kernel Methods
- Support Vector Machine
- Dimensionality Reduction
Key information
Duration
- Full-time
- 19 days
Start dates & application deadlines
- Starting
- Apply before
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- Starting
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Language
English
Duolingo English Test 115
PTE Academic 75
IELTS 6.5
IELTS & PTE Test Preparation
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Credits
15 alternative credits
- 15 UCL credits, 7.5 ECTS, 4 US
Delivered
On Campus
Campus Location
- London, United Kingdom
Disciplines
Machine Learning View 21 other Short Courses in Machine Learning in United KingdomWhat students do after studying
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Academic requirements
GPA Upper Second Class
English requirements
Duolingo English Test 115
PTE Academic 75
IELTS 6.5
IELTS & PTE Test Preparation
E2 Language Test Prep Trusted by 7M+ Students
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
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
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-residents2995 GBP / full≈ 2995 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents2995 GBP / full≈ 2995 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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