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02:30 Dr. Nikolaos Dionelis - UDRC Research Video 2023 Dr. Nikolaos Dionelis - UDRC Research Video 2023	Dr. Nikolaos Dionelis - UDRC Research Video 2023 Nikolaos is a Postdoctoral Research Associate in Machine Learning at the University of Edinburgh in the Department of Electronics and Electrical Engineering, Digital Communications Research… distribution detection samples learning models anomaly sample networks questions profuse retraining occlusion clutter problem labelled process screening ray bargains areas From Joe Burchell 0 likes 23 plays 0 Licence Type All rights reserved The University of Edinburgh
43:24 Data literacy for beginners (updated 2022-2023) Data literacy for beginners (updated 2022-2023)	Data literacy for beginners (updated 2022-2023) Data Literacy for beginners is a one-hour webinar designed to introduce staff and students to the concepts first published in a popular statistics pamphlet, entitled How To Lie with Statistics, by… data skills digital skills and training sample population statistics bias chart numbers size graph chapter skills values students error sampling chat statistic axis trends market samples From Tracy Steinberg 0 likes 73 plays 0 Publisher Tracy Steinberg Licence Type All rights reserved The University of Edinburgh Language British English Date Created November 1st, 2022
33:15 AML: Model Selection - Statistical Tests AML: Model Selection - Statistical Tests	AML: Model Selection - Statistical Tests Applied Machine Learning - INFR11211 AML: Model Selection - Statistical Tests Part 2/2 aml machine learning model evaluation distribution hypothesis samples population sample difference variance things splits errors error dataset tests model student values significance test means statistics From Siddharth N 0 likes 206 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
55:15 Flocks, mills, and platoons: from ad-hoc design… Flocks, mills, and platoons: from ad-hoc design to optimality-based formulation - Dante Kalise	Flocks, mills, and platoons: from ad-hoc design to optimality-based formulation - Dante Kalise From Individual to Collective Behaviour in Biological and Robotic Systems Flocks, mills, and platoons: from ad-hoc design to optimality-based formulation Imperial College London Dante Kalise icms control problem gradient optimization function conditions things instance dynamics equation optimality samples condition bit feedback consensus agents linear point agent From Iain Cms 0 likes 37 plays 0 Licence Type All rights reserved Date Created June 29th, 2022
42:53 Shape Constraints Imposed by Linear Layers in… Shape Constraints Imposed by Linear Layers in Neural Networks - Rebecca Willett	Shape Constraints Imposed by Linear Layers in Neural Networks - Rebecca Willett Structural Breaks and Shape Constraints Shape Constraints Imposed by Linear Layers in Neural Networks Rebecca Willett (University of Chicago) 16 May 2022 icms function network layer representation networks layers weights functions samples linear training subspace cost units relu things alignment matrix space norm From Iain Cms 0 likes 38 plays 0 Licence Type All rights reserved Language English Date Created May 17th, 2022
19:27 RESULT_HIP Study Procedures_Data… RESULT_HIP Study Procedures_Data Collection_13May2022 with commentary.mp4	RESULT_HIP Study Procedures_Data Collection_13May2022 with commentary.mp4 A guide to study procesures and data collection for the RESULT-HIP trial. database consent study blood team trial log training sample patient patients participants capacity samples paper form sites randomization participant record From Gayle Beveridge 0 likes 162 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created May 16th, 2022
44:26 Fast and Even Faster Sampling of Parameterised… Fast and Even Faster Sampling of Parameterised Gaussian Random Fields - Jonas Latz	Fast and Even Faster Sampling of Parameterised Gaussian Random Fields - Jonas Latz Recent Advances in Numerical Linear algebra for PDEs, Optimisation, and Data Assimilation Fast and Even Faster Sampling of Parameterised Gaussian Random Fields Jonas Latz (Heriot-Watt University) icms space matrix problem basis function sort idea parameter parameters kind thing theatre problems samples approximation error measures question spaces square From Greg McCracken 0 likes 8 plays 0 Publisher Ollie Quinn Licence Type All rights reserved Language English Date Created April 22nd, 2022
43:32 Latent Space Data Assimilation - Selime Gurol Latent Space Data Assimilation - Selime Gurol	Latent Space Data Assimilation - Selime Gurol Recent Advances in Numerical Linear Algebra for PDEs, Optimisation, and Data Assimilation Latent Space Data Assimilation Selime Gürol (CERFACS) icms space model idea dimension function observation mattress observations pdf step error reduction instance assimilation layton errors solution learning dynamics samples From Greg McCracken 0 likes 11 plays 0 Publisher Ollie Quinn Licence Type All rights reserved Language English Date Created April 22nd, 2022
51:47 Jesús María Sanz-Serna (University… Jesús María Sanz-Serna (University Carlos III of Madrid) Numerical integrators for the Hamiltonian Monte Carlo method	Jesús María Sanz-Serna (University Carlos III of Madrid) Numerical integrators for the Hamiltonian Monte Carlo method This recording is in the process of being subtitled. We aim to have edited captions available within 2 weeks of publishing.15 November Jesús María Sanz-Serna (University Carlos III… icms one world numerical analysis method energy problem function step algorithm integration era error methods acceptance probability samples integrator point star volume values axis minus From Greg McCracken 0 likes 49 plays 0 Licence Type All rights reserved Language English Date Created November 15th, 2021
13:24 The Central Limit Theorem The Central Limit Theorem	The Central Limit Theorem Discrete Mathematics and Probability 2021/22 Week 11 Part 2 The Central Limit Theorem informatics dmp probability distribution variables deviation sample mu sigma bar variance samples limit root distributions n. epsilon law population total times x1 From Ian Stark 0 likes 290 plays 0 Course Code INFR08031 Publisher Ian Stark — The University of Edinburgh Licence Type Creative Commons - Attribution No Derivatives Language English Date Created November 25th, 2021
16:21 REBM Week 8 - Part b) REBM Week 8 - Part b)	REBM Week 8 - Part b) This is Part b) of a series of two recorded lectures on the theme The independent samples t-test: Engaging with theory and practice. independent samples t-test levene's test spss test hypothesis variances groups samples population interval confidence normality evidence level sample point means difference places percent size form solution From Margaret MacDougall 0 likes 121 plays 0 Publisher Margaret MacDougall Date Created November 9th, 2021
12:01 REBM Week 8 - Part a) REBM Week 8 - Part a)	REBM Week 8 - Part a) This is Part a) of a series of two recorded lectures on the theme 'The independent samples t-test: Engaging with theory and practice'. independent samples t-test levene's test spss hypothesis test salvage cell samples difference lecture levels groups haemoglobin learning study change testing series exercise findings week equality output From Margaret MacDougall 0 likes 130 plays 0 Publisher Margaret MacDougall Licence Type All rights reserved The University of Edinburgh Language English Date Created November 9th, 2021
42:30 REBM Week 6 - MMD REBM Week 6 - MMD	REBM Week 6 - MMD This video recording provides an overview of all three of parts a) to c) of the REBM lectures series for Week 6. The theme for this series is Testing for Normality to assist in deciding whether to… testing for normality q-q plot shapiro-wilks test mann-whitney u test independent samples t-test histograms test normality groups distribution samples tests lecture spss cell sample salvage series week theorem change tutorial plot haemoglobin flowchart From Margaret MacDougall 0 likes 232 plays 0 Publisher Margaret MacDougall Licence Type All rights reserved The University of Edinburgh Language English Date Created October 26th, 2021
23:43 Week 4 a) - MMD Week 4 a) - MMD	Week 4 a) - MMD This is the first in a series of three recorded lectures considering the graphical origins of the p-value and the corresponding different approaches to performing one- and two-tailed tests. one-tailed tests two-tailed tests p-values t-distribution hypothesis distribution values groups freedom test degrees tests examples sample fact association note patients significance samples testing point level statistics From Margaret MacDougall 0 likes 263 plays 0 Publisher Margaret MacDougall Licence Type All rights reserved The University of Edinburgh Language English Date Created October 12th, 2021
04:55 Translational research case study CMVM - Fraser Translational research case study CMVM - Fraser	Translational research case study CMVM - Fraser This interview features a real-life account of a researcher’s journey, based here at the College of Medicine and Veterinary Medicine. ENGAGE, Edinburgh Innovations’ new online learning… edinburgh innovations cancer lung disease stage findings model fact samples industry patients london colleagues stages reproducibility access experiments funding treatment mechanism biomarkers From Geoff Fortescue 0 likes 32 plays 0 Licence Type Creative Commons - Attribution Share A Like
06:50 Translational research case study CMVM - Sofia Translational research case study CMVM - Sofia	Translational research case study CMVM - Sofia This interview features a real-life account of a researcher’s journey, based here at the College of Medicine and Veterinary Medicine. ENGAGE, Edinburgh Innovations’ new online learning… edinburgh innovations transplantation biosensor complications liver biosignature idea lever test aspects experts bit edinburgh samples regeneration funding transplant analysis donor quality surgeons From Geoff Fortescue 0 likes 58 plays 0 Licence Type Creative Commons - Attribution Share A Like

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