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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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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. -
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. -
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. -
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 -
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 -
Probabilistic Machine Learning 4f13 Michaelmas 2021
https://mlg.eng.cam.ac.uk/teaching/4f13/2122/19 Nov 2023: Taught By: Carl Edward Rasmussen and David Krueger. The main page for the course is on moodle. -
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 -
Probabilisitc Machine Learning (4F13) chunks
https://mlg.eng.cam.ac.uk/teaching/4f13/2324/chunks.html19 Nov 2023: Probabilistic Machine Learning chunks. The topics and concepts taught in the Probabilisitc Machine Learning course is broken down into a number of chunks, which are detailed in this page. -
Eight new papers from the group to appear in ICML 2013 | Cambridge…
https://mlg.eng.cam.ac.uk/news/eight-new-papers-from-the-group-to-appear-in-icml-2013/3 Jul 2024: Abstracts and additional material can be found on our publications page, and links to author webpages can be found on ourCopyright -Published with Wowchemy — the free, open source website builder that -
Five papers from the group to appear at AISTATS 2016 | Cambridge…
https://mlg.eng.cam.ac.uk/news/five-papers-from-the-group-to-appear-at-aistats-2016/3 Jul 2024: Search. Five papers from the group to appear at AISTATS 2016. Jan 18, 2016. Five new papers from the group are to appear at the 2016 International Conference on Artificial Intelligence and Statistics (AISTATS) to be held in May in Cadiz, Spain. The -
Three new papers from the group to appear in NIPS 2013 | Cambridge…
https://mlg.eng.cam.ac.uk/news/three-new-papers-from-the-group-to-appear-in-nips-2013/3 Jul 2024: Search. Three new papers from the group to appear in NIPS 2013. Oct 17, 2013. Three new papers from the group are to appear in the Proceeding of Neural Information Processing Systems, 2013, and will be presented at the NIPS conference in Lake Tahoe, -
Announcing the Cambridge – Tübingen PhD Fellowships in Machine…
https://mlg.eng.cam.ac.uk/news/announcing-the-cambridge-tubingen-phd-fellowships-in-machine-learning/3 Jul 2024: Bernhard Schoelkopf in Tübingen. Please see the fellowship webpage and our PhD Admissions FAQ page for more information. -
Ten new papers from the group to appear at ICML 2014 in Beijing |…
https://mlg.eng.cam.ac.uk/news/ten-new-papers-from-the-group-to-appear-at-icml-2014-in-beijing/3 Jul 2024: Please see our group members page for links to the webpages of the authors. -
Ten new papers from the group to appear at NIPS 2014 in Montreal |…
https://mlg.eng.cam.ac.uk/news/ten-new-papers-from-the-group-to-appear-at-nips-2014-in-montreal/3 Jul 2024: Search. Ten new papers from the group to appear at NIPS 2014 in Montreal. Sep 10, 2014. Ten new papers from the group are to appear at the 2014 conference on Advances in Neural Information Processing Systems (NIPS 2014), to be held in December in -
Call for applications Cambridge-Tübingen PhD Fellowships in Machine…
https://mlg.eng.cam.ac.uk/news/call-for-applications-cambridge-tubingen-phd-fellowships-in-machine-learning/3 Jul 2024: Please see the fellowship webpage and our PhD Admissions FAQ page for more information. -
Five new papers from the group to appear at NIPS 2016 in Barcelona |…
https://mlg.eng.cam.ac.uk/news/five-new-papers-from-the-group-to-appear-at-nips-2016-in-barcelona/3 Jul 2024: Search. Five new papers from the group to appear at NIPS 2016 in Barcelona. Aug 16, 2016. Five new papers from the group are to appear at the 2016 conference on Advances in Neural Information Processing Systems (NIPS 2016), to be held in December in -
Seven new papers from the group to appear at NIPS 2015 in Montreal |…
https://mlg.eng.cam.ac.uk/news/seven-new-papers-from-the-group-to-appear-at-nips-2015-in-montreal/3 Jul 2024: Search. Seven new papers from the group to appear at NIPS 2015 in Montreal. Sep 8, 2015. Seven new papers from the group are to appear at the 2015 conference on Advances in Neural Information Processing Systems (NIPS 2015), to be held in December in -
3F3: Signal and Pattern Processing Lecture 1: Introduction to ...
https://mlg.eng.cam.ac.uk/teaching/3f3/1011/lect1.pdf19 Nov 2023: Mixture modelling (or. www.csse.monash.edu.au/dld/mixture.modelling.page.html - 26k - 4 Oct 2004 - Cached - Similar pages. ... www.lans.ece.utexas.edu/ulg/ - 14k - Cached - Similar pages. Result Page: 1 2 3 4 5 6 7 8 9 10 Next. -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect01.pdf19 Nov 2023: Mixture modelling (or. www.csse.monash.edu.au/dld/mixture.modelling.page.html - 26k - 4 Oct 2004 - Cached - Similar pages. ... www.lans.ece.utexas.edu/ulg/ - 14k - Cached - Similar pages. Result Page: 1 2 3 4 5 6 7 8 9 10 Next. -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect01.pdf19 Nov 2023: Mixture modelling (or. www.csse.monash.edu.au/dld/mixture.modelling.page.html - 26k - 4 Oct 2004 - Cached - Similar pages. ... www.lans.ece.utexas.edu/ulg/ - 14k - Cached - Similar pages. Result Page: 1 2 3 4 5 6 7 8 9 10 Next. -
4F13 Machine Learning: Coursework #4: Reinforcement Learning Zoubin…
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/cw/coursework4.pdf19 Nov 2023: Hand in: Code and plots. Your solution should not exceed 5 pages. -
4F13 Machine Learning: Coursework #1: Gaussian Processes Carl Edward…
https://mlg.eng.cam.ac.uk/teaching/4f13/1112/cw/coursework1.pdf19 Nov 2023: Hand in a maximum of 5 pages. a) 10% : Load data from cw1d.mat. -
4F13 Machine Learning: Coursework #2: Latent Dirichlet Allocation…
https://mlg.eng.cam.ac.uk/teaching/4f13/1112/cw/coursework2.pdf19 Nov 2023: Hand in a maximum of 5 pages. a) 10% : load the data from kos_doc_data.mat. -
4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…
https://mlg.eng.cam.ac.uk/teaching/4f13/2324/cw/coursework3.pdf19 Nov 2023: Total combined length ofanswers must not exceed 5 sides of a4 (plus cover page), minimum 1pt font, 1 inch margins. -
4F13 Probabilistic Machine Learning: Coursework #1: Gaussian…
https://mlg.eng.cam.ac.uk/teaching/4f13/2324/cw/coursework1.pdf19 Nov 2023: Each question should be labelled and answered separately and distinctly.Total combined length of answers must not exceed 5 sides of a4 (plus cover page), minimum 11ptfont, 1 inch margins. -
4F13 Machine Learning: Coursework #3: Variational Inference Zoubin…
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/cw/coursework3.pdf19 Nov 2023: Your solution should not exceed 7 pages. a) 40% : In this exercise you will implement the fully factored (a.k.a. -
4F13 Machine Learning: Coursework #3: Variational Inference Zoubin…
https://mlg.eng.cam.ac.uk/teaching/4f13/0910/cw/coursework3.pdf19 Nov 2023: Your solution should not exceed 7 pages. a) 40% : In this exercise you will implement the fully factored (a.k.a. -
4F13 Machine Learning: Coursework #2: Probabilistic Ranking Carl…
https://mlg.eng.cam.ac.uk/teaching/4f13/2324/cw/coursework2.pdf19 Nov 2023: Total combined lengthof answers must not exceed 5 sides of a4 (plus cover page), minimum 11pt font, 1 inch margins. -
4F13 Machine Learning: Coursework #1: Gaussian Processes Carl Edward…
https://mlg.eng.cam.ac.uk/teaching/4f13/1213/cw/coursework1.pdf19 Nov 2023: Hand in a maximum of 5 pages. a) 10% : Load data from cw1d.mat. -
4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…
https://mlg.eng.cam.ac.uk/teaching/4f13/1213/cw/coursework3.pdf19 Nov 2023: Hand in a maximum of 5 pages. a) 10% : load the data from kos_doc_data.mat. -
4F13 Machine Learning: Coursework #2: Probabilistic Ranking Carl…
https://mlg.eng.cam.ac.uk/teaching/4f13/1213/cw/coursework2.pdf19 Nov 2023: Hand in a maximum of 5 pages. a) 10% : Examine the data in tennis_data.mat. -
4F13 Probabilistic Machine Learning: Coursework #1: Gaussian…
https://mlg.eng.cam.ac.uk/teaching/4f13/1617/cw/coursework1.pdf19 Nov 2023: Each question should be labelledand answered separately and distinctly. Hand in a maximum of 5 pages. -
4F13 Machine Learning: Coursework #1: Message Passing in Factor ...
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/cw/coursework1.pdf19 Nov 2023: Your solution should notexceed 5 pages. The number of variables in the graph is N = 6 and the number of factors is K = 5. -
4F13 Machine Learning: Coursework #2: Probabilistic Ranking Zoubin…
https://mlg.eng.cam.ac.uk/teaching/4f13/1516/cw/coursework2.pdf19 Nov 2023: Hand in a maximum of 5 pages; eachquestion should be labelled and answered separately and distinctly. -
4F13 Machine Learning: Coursework #2: Gibbs Sampling Zoubin…
https://mlg.eng.cam.ac.uk/teaching/4f13/0910/cw/coursework2.pdf19 Nov 2023: Your solution should not exceed 6 pages. a) 10% : Gibbs sampling relies on computing conditional probabilities of certain variables given all other variables(read section 29.5 in MacKay’s textbook -
4F13 Machine Learning: Coursework #2: Variational and Sampling…
https://mlg.eng.cam.ac.uk/teaching/4f13/0809/cw/coursework2.pdf19 Nov 2023: Your solution should not exceed 7 pages. 5% Gibbs sampling relies on computing conditional probabilities of certain variables given all other variables (read section29.5 in MacKay's textbook if you -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/0809/lect01.pdf19 Nov 2023: Mixture modelling (or. www.csse.monash.edu.au/dld/mixture.modelling.page.html - 26k - 4 Oct 2004 - Cached - Similar pages. ... www.lans.ece.utexas.edu/ulg/ - 14k - Cached - Similar pages. Result Page: 1 2 3 4 5 6 7 8 9 10 Next.
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