MA30279: Machine learning 2
[Page last updated: 23 October 2023]
| Academic Year: | 2023/24 |
| Owning Department/School: | Department of Mathematical Sciences |
| Credits: | 6 [equivalent to 12 CATS credits] |
| Notional Study Hours: | 120 |
| Level: | Honours (FHEQ level 6) |
| 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 MA20278
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| Learning Outcomes: |
After taking this course students will be able to:
- Formulate loss functions with training and test data and basic training algorithms.
- Write code to implement algorithms in Python.
- Understand the importance of algorithm efficiency.
- Understand deep neural networks and their use in machine learning.
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| Aims: | This module will develop students' knowledge and understanding of Machine Learning by introducing them to deep neural networks and their applications.
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| Skills: | Formulation of machine learning problems TF, applications of neural networks TF, writing code in python TFA, multi-dimensional calculus and optimization TA.
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| Content: | Machine Learning algorithms and supporting techniques and mathematics including some of the following:
1. Supervised learning and neural networks.
2. Preliminaries (linear algebra and multi-variable calculus, Python and machine-learning toolboxes).
3. Logistic regression and gradient-descent training algorithms, with examples in Python.
4. Shallow neural networks (activation functions, training, initialisation).
5. Deep neural networks (motivation, training, forward backward propagation).
6. Applications and practical issues.
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| Course availability: |
MA30279 is Compulsory on the following courses:
Department of Mathematical Sciences
- USMA-AFB20 : BSc(Hons) Mathematics, Statistics, and Data Science (Year 3)
MA30279 is Optional on the following courses:
Department of Mathematical Sciences
- USMA-AFB15 : BSc(Hons) Mathematical Sciences (Year 3)
- USMA-AAB16 : BSc(Hons) Mathematical Sciences with Study year abroad (Year 4)
- USMA-AKB16 : BSc(Hons) Mathematical Sciences with Year long work placement (Year 4)
- USMA-AFB13 : BSc(Hons) Mathematics (Year 3)
- USMA-AAB14 : BSc(Hons) Mathematics with Study year abroad (Year 4)
- USMA-AKB14 : BSc(Hons) Mathematics with Year long work placement (Year 4)
- USMA-AFB01 : BSc(Hons) Mathematics and Statistics (Year 3)
- USMA-AAB02 : BSc(Hons) Mathematics and Statistics with Study year abroad (Year 4)
- USMA-AKB02 : BSc(Hons) Mathematics and Statistics with Year long work placement (Year 4)
- USMA-AFM14 : MMath(Hons) Mathematics (Year 3)
- USMA-AFM14 : MMath(Hons) Mathematics (Year 4)
- USMA-AAM15 : MMath(Hons) Mathematics with Study year abroad (Year 4)
- USMA-AKM15 : MMath(Hons) Mathematics with Year long work placement (Year 4)
- USMA-AKM15 : MMath(Hons) Mathematics with Year long work placement (Year 5)
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Notes: - This unit catalogue is applicable for the 2023/24 academic year only. Students continuing their studies into 2024/25 and beyond should not assume that this unit will be available in future years in the format displayed here for 2023/24.
- 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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