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Computer Laboratory
Teaching
Courses 2020–21
Advanced topics in machine learning or natural language processing
Course materials

Department of Computer Science and Technology

Advanced topics in machine learning or natural language processing

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Course pages 2020–21

Computer Laboratory
Teaching
Courses 2020–21
Masters

Advanced topics in machine learning or natural language processing
Advanced Graphics and Image Processing
Advanced Topics in Computer Architecture
Advanced Topics in Mobile Systems and Mobile Data Machine Learning
Algebraic Path Problems
Automated Reasoning
Category Theory
Computer Security: Principles and Foundations
Data Science: principles and practice
Digital Signal Processing
Interactive Formal Verification
Introduction to Natural Language Syntax and Parsing
Large-scale data processing and optimisation
Machine Learning and the Physical World
Machine Learning for Language Processing
Multicore Semantics and Programming
Network Architectures
Overview of Natural Language Processing
Principles of Machine Learning Systems
Probabilistic Machine Learning
Research Skills Programme
Technology, law and society
Advanced Operating Systems
Advanced Topics in Computer Systems
Affective Computing
Computer Vision
Cybercrime
Distributed Ledger Technologies: Foundations and Applications
Hardware Security Practicals
Interaction with Machine Learning
Mobile Robot Systems

Advanced topics in machine learning or natural language processing

Syllabus
Course materials
Assessment
Recordings

Course material is on the R250 course Moodle web page.

© 2021 Department of Computer Science and Technology, University of Cambridge
Information provided by Dr Andreas Vlachos

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