MA22018: Machine learning 1
[Page last updated: 03 June 2024]
Academic Year: | 2024/25 |
Owning Department/School: | Department of Mathematical Sciences |
Credits: | 5 [equivalent to 10 CATS credits] |
Notional Study Hours: | 100 |
Level: | Intermediate (FHEQ level 5) |
Period: |
- Semester 1
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Assessment Summary: | CWRI 100% |
Assessment Detail: |
- Coursework 1 (CWRI 40%)
- Coursework 2 (CWRI 60%)
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Supplementary Assessment: |
- Like-for-like reassessment (where allowed by programme regulations)
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Requisites: |
Before taking this module you must ( take MA12003 AND take MA12004 ) OR ( take MA12011 AND take MA12008 ) OR take MA12013
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Learning Outcomes: |
After taking this unit, you will be able to:
- Identify and formulate machine-learning problems from practical situations and judge the suitability of different machine learning approaches.
- Write code to implement basic machine learning algorithms in Python.
- Understand the mathematics�¿underlying these techniques.
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Synopsis: | You will learn a range of machine learning techniques and algorithms for supervised and unsupervised learning. The unit will use Python to experiment with data sets.
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Content: | Machine learning algorithms and theory, including:
general machine learning concepts: formulation of machine learning problems, model selection, cross-validation, overfitting, information retrieval and ranking.
unsupervised learning: general idea of clustering, the K-means algorithm.
Supervised learning: general idea of classification, simple approximate models such as linear model, loss functions, least squares and logistic regression, optimisation concepts and algorithms such as gradient descent, stochastic gradient descent, support vector machines.
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Course availability: |
MA22018 is Compulsory on the following courses:
Department of Mathematical Sciences
- USMA-AFB33 : BSc(Hons) Mathematics, Statistics and Data Science (Year 2)
- USMA-AKB33 : BSc(Hons) Mathematics, Statistics and Data Science with professional placement (Year 2)
- USMA-AKB33 : BSc(Hons) Mathematics, Statistics and Data Science with study abroad (Year 2)
MA22018 is Optional on the following courses:
Department of Economics
- UHES-AFB12 : BSc(Hons) Economics and Mathematics (Year 2)
- UHES-AKB12 : BSc(Hons) Economics and Mathematics with professional placement (Year 2)
- UHES-AKB12 : BSc(Hons) Economics and Mathematics with professional placement and study abroad (Year 2)
- UHES-AKB12 : BSc(Hons) Economics and Mathematics with study abroad (Year 2)
Department of Mathematical Sciences
- USMA-AFB30 : BSc(Hons) Mathematics (Year 2)
- USMA-AFB32 : BSc(Hons) Mathematics and Statistics (Year 2)
- USMA-AKB32 : BSc(Hons) Mathematics and Statistics with professional placement (Year 2)
- USMA-AKB32 : BSc(Hons) Mathematics and Statistics with study abroad (Year 2)
- USMA-AKB30 : BSc(Hons) Mathematics with professional placement (Year 2)
- USMA-AKB30 : BSc(Hons) Mathematics with study abroad (Year 2)
- USMA-AFM30 : MMath(Hons) Mathematics (Year 2)
- USMA-AKM30 : MMath(Hons) Mathematics with professional placement (Year 2)
- USMA-AKM31 : MMath(Hons) Mathematics with study abroad (Year 2)
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Notes: - This unit catalogue is applicable for the 2024/25 academic year only. Students continuing their studies into 2025/26 and beyond should not assume that this unit will be available in future years in the format displayed here for 2024/25.
- Courses and units are subject to change in accordance with normal University procedures.
- Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
- Find out more about these and other important University terms and conditions here.
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