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Probabilistic Machine Learning 4f13 Michaelmas 2017
Machine learning, probabilistic modelling, graphical models, approximate inference, Bayesian statistics
machinelearning  ComputerScience 
yesterday by researchknowledge
Computer Laboratory – Course pages 2016–17: Affective Computing
Understanding, (automatically) analysing and modelling people's affective and social behaviour is very important for multiple domains such as enhancing human-computer and human-agent interaction, improving gaming technology and players� experience, behavioural analytics for the banking sector, etc. Accordingly, the aim of this module is to impart knowledge and ability needed to make informed choices of models, data, and techniques for sensing, recognition, and expression of human affective and social behaviour (e.g., smile, frown, head nodding/shaking, agreement/disagreement), and its use in the design of innovative interactive technology (e.g., interaction with virtual agents, robots, and games; single and multi-user smart environments, e.g., in a car; implicit (multimedia) tagging; clinical and biomedical studies, e.g., autism, depression, pain).
AffectiveComputing  ComputerScience 
yesterday by researchknowledge
Rich Hickey - Clojure Bookshelf
"Books that influenced Clojure, in no particular order"
books  programming  ai  somedaymaybe  computerscience 
2 days ago by loganyork
"Shaping our children's education in computing" by Simon Peyton Jones
Great talk about how to integrate computer science into school curriculums. I liked his emphasis on core principles and comparisons to physics and biology.
education  programming  ComputerScience  video  strangeloop 
4 days ago by jefframnani

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