
Oxford, United Kingdom
Advanced Artificial Intelligence and Machine Learning: Computer Vision
When:
21 July - 08 August 2025
Credits:
7.5 EC
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Artificial Intelligence
When:
30 June - 18 July 2025
School:
Lady Margaret Hall University of Oxford
Institution:
Lady Margaret Hall, University of Oxford
City:
Country:
Language:
English
Credits:
7.5 EC
Fee:
4060 GBP
Deep Unsupervised Learning is an exciting emerging area of research in the field of artificial intelligence and machine learning, in which the goal is to develop systems that can learn from unlabelled data. Such systems closely mimic natural human intelligence by finding patterns in data without instructions on what to look for.
The course will begin with an introduction to unsupervised learning and clustering algorithms, before exploring generative adversarial networks and deep generative models. You will examine self-supervised learning, anomaly detection, flow-based models, and unsupervised representation learning. The final part of the course focuses on clustering in high-dimensional spaces, semi-supervised learning, energy-based models, and unsupervised learning for reinforcement.
This intensive course offers theoretical understanding and practical experience with a focus throughout on real-world applications of deep unsupervised learning across various domains, offering career skills as well as excellent foundations for future research.
This course would suit STEM students with intermediate level experience in artificial intelligence and machine learning concepts and techniques, including those undertaking, or looking ahead to, graduate level study or research.
Specifically, students on this course must have experience of the following topics:
- Knowledge of the deep learning libraries.
- Understanding of deep learning, recurrent neural networks, and convolutional neural networks.
- Strong background in optimization and probability.
- Familiarity with the Python programming language.
By the end of this course, you will:
- Understand the differences between supervised and unsupervised learning and the fundamentals of clustering.
- Be able to utilise a range of algorithms and techniques for unsupervised, self-supervised, and semi-supervised learning.
- Be able to evaluate the efficacy of real-world applications of deep unsupervised learning across various domains.
- be able to demonstrate familiarity with the current state of research into deep unsupervised learning.
Fee
4060 GBP, Standard Room
Fee
420 GBP, Standard Room
For full list of items included in the programme fee, please visit our website.
When:
30 June - 18 July 2025
School:
Lady Margaret Hall University of Oxford
Institution:
Lady Margaret Hall, University of Oxford
Language:
English
Credits:
7.5 EC
Oxford, United Kingdom
When:
21 July - 08 August 2025
Credits:
7.5 EC
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St. Gallen, Switzerland
When:
23 June - 27 June 2025
Credits:
4 EC
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Split, Croatia
When:
26 May - 01 July 2025
Credits:
6 EC
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