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Computer Laboratory
Teaching
Courses 2023–24
Advanced topics in machine learning
Course materials

Department of Computer Science and Technology

Advanced topics in machine learning

Course pages 2023–24

Computer Laboratory
Teaching
Courses 2023–24
Masters

Advanced topics in machine learning
Advanced Graphics and Image Processing
Advanced Topics in Computer Architecture
Advanced topics in programming languages
Category Theory
Computer Security: Principles and Foundations
Digital Signal Processing
Introduction to Computational Semantics
Introduction to Natural Language Syntax and Parsing
Introduction to networking and systems measurements
Large-scale data processing and optimisation
Machine Learning and the Physical World
Machine Learning for Language Processing
Machine Visual Perception
Mobile, Wearable Systems and Machine Learning
Multicore Semantics and Programming
Network Architectures
Overview of Natural Language Processing
Practical Research in Human-centred AI
Principles of Machine Learning Systems
Advanced Operating Systems
Advanced Topics in Category Theory
Advanced Topics in Computer Systems
Affective Computing
Cybercrime
Discourse and Pragmatics
Distributed Ledger Technologies: Foundations and Applications
Federated Learning: Theory and Practice
Geometric Deep Learning
Mobile Health
Theories of Socio-digital Design for Human Centred AI
Theory of Deep Learning
Topics in Logic and Complexity
Understanding Networked-Systems Performance

Advanced topics in machine learning

Syllabus
Course materials
Assessment
Recordings

Course material is on the R255 course Moodle web page.

© 2023 Department of Computer Science and Technology, University of Cambridge
Information provided by Prof Mateja Jamnik – edit page

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