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Zoubin Ghahramani | Department of Engineering
https://www.eng.cam.ac.uk/profiles/zg201My work focuses on advancing the general mathematical and algorithmic foundations of these fields, although I have also worked on applications of Bayesian machine learning to computational biology and bioinformatics, econometrics ... His academic career -
Professor Richard Turner | Cambridge Centre for Data-Driven Discovery
https://www.c2d3.cam.ac.uk/directory/422/professor-richard-turnerHe then studied for his PhD in Computational Neuroscience and Machine Learning at the Gatsby Computational Neuroscience Unit, UCL. ... He now holds a Readership in the Machine Learning Group which is part of the Computational and Biological Learning Lab -
Dr Richard Turner honoured with teaching award | Department of…
https://www.eng.cam.ac.uk/news/dr-richard-turner-honoured-teaching-awardRichard, who works as a lecturer in the Computational and Biological Learning Lab, won in the Lecturer category for his classes on software engineering, computer vision, machine learning and neuroscience. ... He earned his PhD in computational -
Member: Onno Kampman - Cambridge Neuroscience
https://neuroscience.cam.ac.uk/member/opk20/Department. Research ThemeResearch Focus Keywords. Machine Learning. Bayesian Inference. fMRI. Functional Connectivity. ... Dr Onno Kampman. University Position. PhD student. Visiting Scientist. Interests. Computational neuroscience, using machine -
Learning more Python at CUED
https://help.eng.cam.ac.uk/cued-python/learning-more-python-at-cued/3rd year – Various Easter Term projects (4 weeks) involve programming – “CT Reconstruction and Visualisation”, “Image Processing”, “Machine Learning” (Python), “Data Analysis”, “Software” (Python), etc. ... Several modules also -
1 Set Unit Title Mode IIBM1 4A2 Computational Fluid ...
https://teaching.eng.cam.ac.uk/download/file/5782IIBL4 4G3 Computational Neuroscience cIIBL2 4G4 Biomimetics cIIBM6 4G5 Materials and Molecules: Modelling, Simulation and Machine Learning cIIBM1 4G6 Cellular and Molecular Biomechanics pIIBL11 4G9 Biomedical Engineering c. ... 4A7 Aircraft Aerodynamics -
Professor David Barrett | Cambridge Centre for Data-Driven Discovery
https://www.c2d3.cam.ac.uk/directory/386/professor-david-barrettComputational and Biological Learning,. Office BE-435,. Information Engineering Division,, Department of Engineering,, University of Cambridge. ... I completed a Ph.D in Computational Neuroscience and Machine Learning at the Gatsby Unit, UCL, with Prof. -
Member: Tobias Goehring - Cambridge Neuroscience
https://neuroscience.cam.ac.uk/member/tobiasgoehring/I combine techniques from Psychology, Engineering, Auditory Neuroscience and Machine Learning to improve Medical Hearing Devices such as Cochlear Implants and Hearing Aids. ... Auditory inspired machine learning techniques can improve speech -
IIB M&S 2023-24.V4 (for publication)
https://teaching.eng.cam.ac.uk/download/file/6501IIBM11 4M22 Climate Change Mitigation c. IIBL6 4M23 Electricity and Environment (TPE22) cIIBM8 4M24 Computational Statistics and Machine Learning pcIIBL3 4M26 Algorithms and Data Structures p. ... IIB Sets Michaelmas Term 20224A2 Computational Fluid -
IIB M&S 2023-24.V4 (for publication)
https://teaching.eng.cam.ac.uk/download/file/6146IIBM11 4M22 Climate Change Mitigation c. IIBL6 4M23 Electricity and Environment (TPE22) cIIBM8 4M24 Computational Statistics and Machine Learning pcIIBL3 4M26 Algorithms and Data Structures p. ... IIB Sets Michaelmas Term 20224A2 Computational Fluid -
Notes: Set Unit Title Mode Notes IIBM1 4A2 Computational ...
https://teaching.eng.cam.ac.uk/download/file/6608IIBL4 4G3 Computational Neuroscience c. IIBL8 4G5 Materials and Molecules: Modelling, Simulation and Machine Learning c. ... 4A7 Aircraft Aerodynamics and Design c4C3 Advanced Functional Materials and Devices p4D5 Deep Foundations and Underground -
Engineering Tripos Part IIB, 4G3: Computational Neuroscience, 2023-24 …
https://teaching.eng.cam.ac.uk/content/engineering-tripos-part-iib-4g3-computational-neuroscience-2023-24describe models of plasticity and learning and how they apply to the basic paradigms of machine learning (supervised, unsupervised, reinforcement) as well as pattern formation in the nervous system. ... Content. The course covers basic topics in -
Computational and Biological Learning Laboratory | Department of…
https://www.eng.cam.ac.uk/research/academic-divisions/information-engineering/research-groups/computational-and-biologicalComputational and Biological Learning Laboratory. The Computational and Biological Learning Laboratory uses engineering approaches to understand the brain and to develop artificial learning systems. ... Research includes Bayesian learning, computational -
SPARS 2015
www-sigproc.eng.cam.ac.uk/SPARS2015/PlenaryTalksHis academic career includes concurrent appointments as one of the founding members of the Gatsby Computational Neuroscience Unit in London, and as a faculty member of CMU's Machine Learning Department ... In many applications in signal processing and -
Engineering Tripos Part IIB, 4G3: Computational Neuroscience, 2021-22 …
https://teaching.eng.cam.ac.uk/content/engineering-tripos-part-iib-4g3-computational-neuroscience-2021-22describe models of plasticity and learning and how they apply to the basic paradigms of machine learning (supervised, unsupervised, reinforcement) as well as pattern formation in the nervous system. ... Content. The course covers basic topics in -
Engineering Tripos Part IIB, 4G3: Computational Neuroscience, 2020-21 …
https://teaching.eng.cam.ac.uk/content/engineering-tripos-part-iib-4g3-computational-neuroscience-2020-21describe models of plasticity and learning and how they apply to the basic paradigms of machine learning (supervised, unsupervised, reinforcement) as well as pattern formation in the nervous system. ... Content. The course covers basic topics in -
Engineering Tripos Part IIB, 4G3: Computational Neuroscience, 2022-23 …
https://teaching.eng.cam.ac.uk/content/engineering-tripos-part-iib-4g3-computational-neuroscience-2022-23describe models of plasticity and learning and how they apply to the basic paradigms of machine learning (supervised, unsupervised, reinforcement) as well as pattern formation in the nervous system. ... Content. The course covers basic topics in -
Engineering Tripos Part IIB, 4G3: Computational Neuroscience, 2017-18 …
https://teaching.eng.cam.ac.uk/content/engineering-tripos-part-iib-4g3-computational-neuroscience-2017-18describe models of plasticity and learning and how they apply to the basic paradigms of machine learning (supervised, unsupervised, reinforcement) as well as pattern formation in the nervous system. ... Content. The course covers basic topics in -
Engineering Tripos Part IIB, 4G3: Computational Neuroscience, 2019-20 …
https://teaching.eng.cam.ac.uk/content/engineering-tripos-part-iib-4g3-computational-neuroscience-2019-20describe models of plasticity and learning and how they apply to the basic paradigms of machine learning (supervised, unsupervised, reinforcement) as well as pattern formation in the nervous system. ... Content. The course covers basic topics in -
Engineering Tripos Part IIB, 4G3: Computational Neuroscience, 2018-19 …
https://teaching.eng.cam.ac.uk/content/engineering-tripos-part-iib-4g3-computational-neuroscience-2018-19describe models of plasticity and learning and how they apply to the basic paradigms of machine learning (supervised, unsupervised, reinforcement) as well as pattern formation in the nervous system. ... Content. The course covers basic topics in
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