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Computer Laboratory Research Students' Lectures 2014
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UPDATE MICHAELMAS 2014 The Lectures have returned for a second run! A small selection of the lectures from the research students will be given at 13:00 on Tuesdays starting on 28 October in SW01 . You can bring your sandwiches. SW01 has limited capacity and we recommend getting there promptly to get a seat. ——- You are all cordially invited to attend a series of 10 lectures written and presented by Computer Lab research students to be given during Easter Term 2014. The lectures will start at 14:00 on Thursday 1 May and run at 14:00 every Monday, Thursday and Friday until Thursday 22 May in Lecture 2 of the William Gates Building. Topics will vary from “Messing with the Future (or the Art of Continuations)” to “Practical Machine Learning” to “Modern Approaches to Parsing” to “Applied Probabilistic Algorithms for Big Data Analysis” and much, much more. Should you wish to take part, we will run a test (for fun) at the end of the series, and after the Tripos exams, to be set and marked by the RSL lecturers and for which the best answers will be considered for one of three prizes. If you have a question about this list, please contact: Advait Sarkar; Tadas Baltrusaitis. If you have a question about a specific talk, click on that talk to find its organiser. 0 upcoming talks and 13 talks in the archive. Programming in Haskell
Using public-key cryptography in practice
Applied Probabilistic Algorithms for Big Data Analysis
Using public-key cryptography in practice
Logistic and Softmax Regression, and their Relation to the Neural Network World
Structure learning in Bayesian Networks
Multi-objective optimisation algorithms to predict gene expression in biological models
Modeling Genetic Documents Written by DNA
New Advances in Face Recognition
Modern Approaches to Parsing
Programming in Haskell
Messing with the Future (or the Art of Continuations)
Applied Probabilistic Algorithms for Big Data Analysis
Please see above for contact details for this list. |
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Mr Michael B. Gale (University of Cambridge).
Tuesday 11 November 2014, 13:00-14:00