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Computer Laboratory
Teaching
Courses 2022–23
Advanced topics in machine learning
Course materials

Department of Computer Science and Technology

Advanced topics in machine learning

Course pages 2022–23

Computer Laboratory
Teaching
Courses 2022–23
Masters

Advanced topics in machine learning
Advanced Graphics and Image Processing
Advanced Topics in Computer Architecture
Category Theory
Computer Security: Principles and Foundations
Digital Signal Processing
Interaction with Machine Learning
Introduction to Computational Semantics
Introduction to Natural Language Syntax and Parsing
Introduction to Robotics
Large-scale data processing and optimisation
Machine Learning and the Physical World
Machine Learning for Language Processing
Machine Visual Perception
Multicore Semantics and Programming
Natural Language Processing
Network Architectures
Principles of Machine Learning Systems
Research Skills Programme
Theory of Deep Learning
Advanced Operating Systems
Advanced Robotics
Advanced Topics in Category Theory
Advanced Topics in Computer Systems
Cybercrime
Distributed Ledger Technologies: Foundations and Applications
Federated Learning
High performance networking
Mobile Health
Representation Learning on Graphs and Networks
Topics in Logic and Complexity

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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