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Funding for postgraduate students
Information about sources of funding available to postgraduates at Cambridge.
www.student-funding.cam.ac.uk/
Cambridge Bursary Scheme
The Bursary is free financial support of generally up to £3,500 a year for full-time undergraduate students, to help with your Cambridge fees or living costs. Like a scholarship or grant, the payment is non-refundable – you don’t need to pay it back.
Higher amounts are available for medical students in their clinical years, independent students including care leavers, and students who were eligible for free school meals.
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https://mlg.eng.cam.ac.uk/index.xml
https://mlg.eng.cam.ac.uk/index.xml3 Jul 2024: visit the individual research pages of our <a href="https://mlg.eng.cam.ac.uk/people"group members</a.<br (Image courtesy of Daniel M. ... Applicants who want to apply for University funding need to reply ‘Yes’ to the question ‘Apply for Cambridge -
PhD Programme in Advanced Machine Learning | Cambridge Machine…
https://mlg.eng.cam.ac.uk/phd_programme_in_advanced_machine_learning/3 Jul 2024: Applicants who want to apply for University funding need to reply ‘Yes’ to the question ‘Apply for Cambridge Scholarships’. ... For a sample of our research, you can check group members’ personal pages or our research publications page.. Results that match 1 of 2 words
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Three recent papers from MLG | Cambridge Machine Learning Group
https://mlg.eng.cam.ac.uk/news/three-recent-papers-from-mlg/3 Jul 2024: The text can be found on the authors’ personal pages. Mark Rowland, Aldo Pacchiano and Adrian Weller. -
Cambridge Machine Learning Group
https://mlg.eng.cam.ac.uk/3 Jul 2024: Search. Latest News. Mar 22, 2023. Feb 23, 2020. Sep 19, 2019. Sep 19, 2019. Sep 19, 2019. TAUGHT COURSES. 3F3: Signal and Pattern Processing. Taught by Zoubin Ghahramani. Taught by Mark Gales. Taught by Zoubin Ghahramani and Carl Rasmussen. -
Probabilistic Machine Learning 4f13 Michaelmas 2023
https://mlg.eng.cam.ac.uk/teaching/4f13/2324/19 Nov 2023: The main page for the course is on moodle, but if you're just attending lectures there is no need to access the moodle site. -
About Us | Cambridge Machine Learning Group
https://mlg.eng.cam.ac.uk/about-us/3 Jul 2024: If you are interested in finding out more about our research, please visit our Publications page, or visit the individual research pages of our group members. -
Cambridge Machine Learning Group
https://mlg.eng.cam.ac.uk/people/3 Jul 2024: Search. Copyright -Published with Wowchemy — the free, open source website builder that empowers creators. https://mlg.eng.cam.ac.uk/. Cite. -
https://mlg.eng.cam.ac.uk/news/index.xml
https://mlg.eng.cam.ac.uk/news/index.xml3 Jul 2024: The text can be found on the authors’ personal pages.</p <pMark Rowland, Aldo Pacchiano and Adrian Weller. ... up to date versions of the papers, visit the authors’ webpages, which may be found through our <a -
Wenbo Gong | Cambridge Machine Learning Group
https://mlg.eng.cam.ac.uk/people/wenbo-gong/3 Jul 2024: José Miguel Hernández-Lobato. He is funded by CSC-Cambridge Trust Scholarship. He has broad interests including generative models, implicit models and variational inference. -
Jonathan So | Cambridge Machine Learning Group
https://mlg.eng.cam.ac.uk/people/jonathan-so/3 Jul 2024: Search. Jonathan So. Jonathan is a PhD student in the machine learning group under the supervision of Richard Turner, and is funded by the Harding Distinguished Scholarship Programme. -
Austin Tripp | Cambridge Machine Learning Group
https://mlg.eng.cam.ac.uk/people/austin-tripp/3 Jul 2024: He is funded by a C.T. Taylor scholarship from the Cambridge Trust. -
Elre Oldewage | Cambridge Machine Learning Group
https://mlg.eng.cam.ac.uk/people/elre-oldewage/3 Jul 2024: She is a member of Churchill College and is funded by a Schlumberger Cambridge Scholarship. -
Sebastian Ober | Cambridge Machine Learning Group
https://mlg.eng.cam.ac.uk/people/sebastian-ober/3 Jul 2024: He is funded by a Gates Cambridge Scholarship, and his research interests include approximate inference, Bayesian deep learning, and Bayesian nonparametrics. -
Javier Antorán | Cambridge Machine Learning Group
https://mlg.eng.cam.ac.uk/people/javier-antoran/3 Jul 2024: José Miguel Hernández-Lobato. Javier is funded by the Microsoft Research PhD scholarship programme. -
Chaochao Lu | Cambridge Machine Learning Group
https://mlg.eng.cam.ac.uk/people/chaochao-lu/3 Jul 2024: Search. Chaochao Lu. Chaochao Lu is a PhD student of Machine Learning Group at the University of Cambridge, where he is co-supervised by Prof. Zoubin Ghahramani and Prof. José Miguel Hernández-Lobato, advised by Prof. Carl Edward Rasmussen, and -
preferential_fairness_nips_2017.pages
https://mlg.eng.cam.ac.uk/adrian/preferential_fairness_nips_2017.pdf19 Jun 2024: From Parity to Preference-based No4ons of Fairness in Classifica4on Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna P. Gummadi, Adrian Weller. Max Planck InsBtute for SoEware Systems, Max Planck InsBtute for Intelligent Systems, -
Valerii Likhosherstov | Cambridge Machine Learning Group
https://mlg.eng.cam.ac.uk/people/valerii-likhosherstov/3 Jul 2024: I am funded by the Department of Engineering and Trust Scholarship. -
Part 1B Paper 7, Probability and Statistics
https://mlg.eng.cam.ac.uk/teaching/1BP7/1819/19 Nov 2023: RHB pages: Venn Diagrams and Probability: 1119-1133, Discrete Random Variable: 1139-1140, Sample Mean and Variance: 1221-1224]. ... Lecture 3, Continuous distributions (slides). [RHB pages: Continuous distributions: 1140-1142, Mean: 1143-1145, Variance: -
3F3: Signal and Pattern Processing
https://mlg.eng.cam.ac.uk/teaching/3f3/1011/19 Nov 2023: 3F3: Signal and Pattern Processing. Zoubin Ghahramani. 5 Lectures on Pattern Processing and Machine Learning. Department of Engineering. University of Cambridge. Lecture Notes:. Examples paper and other questions for study:. Matlab Demos:. Online -
Google awards $750,000 for “The Automatic Statistician” | Cambridge…
https://mlg.eng.cam.ac.uk/news/google-awards-750000-for-the-automatic-statistician/3 Jul 2024: automatically produces a 10-15 page report describing patterns discovered in the data, but returns a statistical model with state-of-the-art extrapolation performance evaluated over real time series data
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