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Computer Laboratory
Computer Laboratory
Teaching
Courses 2016–17
Machine Learning and Algorithms for Data Mining
Course materials
Advanced Operating Systems
Affective Computing
Algebraic Path Problems, with applications to Internet Routing
Automated Reasoning
Category Theory and Logic
Chip Multiprocessors
Computer Security: Principles and Foundations
Computer Vision
Discourse Processing
Introduction to Natural Language Syntax and Parsing
Introduction to networking and systems measurements
Machine Learning for Language Processing
Modern Compiler Design
Multicore Semantics and Programming
Network Architectures
Overview of Natural Language Processing
Principles of Data Science
Research Skills Programme
Research Students Lectures
Special topic MT
Advanced Functional Programming
Advanced Topics in Computer Systems
Advanced Topics in Natural Language Processing
A Mathematical Theory of Distributed Games and Strategies
Biomedical Information Processing
Computer Security: Current Applications and Research
Data Centric Systems and Networking
High performance networking
Interactive Formal Verification
Machine Learning and Algorithms for Data Mining
Social and Technological Network Data Analytics
Special topic LT
System on Chip Design and Modelling
Critical Coding for Digital Humanities
Course pages 2016–17
Machine Learning and Algorithms for Data Mining
Syllabus
Course materials
Assessment
All materials can be found on the course's
Moodle page
.
© 2017 Computer Laboratory, University of Cambridge
Information provided by
Dr Mateja Jamnik
