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14:02 RMS2 (20-21): 11.4 RMS2 (20-21): 11.4	RMS2 (20-21): 11.4 Recording of fourth lecture research methods 2 reliability tests test factor alpha score cronbach measure variance relationship analysis error construct omega formula theory validity forms con assumptions From Thomas Booth on November 24th, 2020 0 likes 1 plays 0 Licence Type All rights reserved
19:53 IDS - Week 10 - 04 - AE - The Office, Part 2 IDS - Week 10 - 04 - AE - The Office, Part 2	IDS - Week 10 - 04 - AE - The Office, Part 2 Predicting IMDB ratings of The Office episodes. Part 2 of 2: Modeling, cross validation, and model selection. data science rstats model testing rmse recipe training episode imdb variables validation cross things models workflow error prediction role rating split range bit From Mine Cetinkaya-Rundel on November 23rd, 2020 0 likes 5 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
14:37 RMS2 (20-21): 11.1 RMS2 (20-21): 11.1	RMS2 (20-21): 11.1 research methods 2 factor analysis variables matrix error variance components factors correlations variable relationships component thing kind correlation lambda model times 2a measures From Alexander Weiss on November 18th, 2020 0 likes 3 plays 0 Licence Type All rights reserved
54:43 Desmond Higham 16 November Should We Be Perturbed… Desmond Higham 16 November Should We Be Perturbed About Deep Learning	Desmond Higham 16 November Should We Be Perturbed About Deep Learning ICMS OWNA An automated programme has been used to generate the subtitles on this talk. icms owna point error network precision attack softmax points epsilon algorithm change classification dimension errors function validation output images analysis perturbations things From ALASDAIR SPRATT on November 16th, 2020 0 likes 95 plays 0 Course Code ICMS Publisher ICMS Licence Type All rights reserved Language English Date Created November 16th, 2020
22:57 RMS2 (20-21): 9.3 RMS2 (20-21): 9.3	RMS2 (20-21): 9.3 condition squares freedom levels degrees variance person factor error sums tests assumption designs interaction conditions measures things values term test From Thomas Booth on November 14th, 2020 0 likes 154 plays 0
11:24 RMS2 (20-21): 9.1 RMS2 (20-21): 9.1	RMS2 (20-21): 9.1 condition designs measures person variation title errors values conditions subjects treatment variance schools groups participants effect persons average week error From Thomas Booth on November 14th, 2020 0 likes 129 plays 0
55:00 MLP Lecture 08 - Convolutional Neural Networks… MLP Lecture 08 - Convolutional Neural Networks (2) - 2019 temp version	MLP Lecture 08 - Convolutional Neural Networks (2) - 2019 temp version Machine Learning Practical (MLP) Lecture 08, temporary 2019-20 live version. machine learning deep learning convolution layers inputs output gradients kernel weights error From Pavlos Andreadis on November 9th, 2020 1 likes 219 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
19:52 USMR lecture 8 part 2 USMR lecture 8 part 2	USMR lecture 8 part 2 categorical predictors usmr psychology ppls statistics rstats play model mode lego intercept error function toys values utility column linear zing factor difference things contrast predictor standard m0 From Martin Corley on November 8th, 2020 0 likes 63 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 14th, 2020
01:03:55 MLP Q&A 1 - Session 3 (Week 7) MLP Q&A 1 - Session 3 (Week 7)	MLP Q&A 1 - Session 3 (Week 7) Machine Learning Practical Q&amp;A 1 - Session 3 (Week 7). machine learning deep learning error training problem solution validation linear optimization learning dropouts exam layers performance coursework weight From Pavlos Andreadis on November 3rd, 2020 1 likes 33 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
49:42 Houman Owhadi 2 November On learning adapted… Houman Owhadi 2 November On learning adapted kernels for numerical approximation	Houman Owhadi 2 November On learning adapted kernels for numerical approximation ICMS OWNA An automated programme has been used to generate the subtitles on this talk. icms owna function space problem candle input target question points image vector theta solution norm regression process approximation error feature dagger registration From ALASDAIR SPRATT on November 3rd, 2020 0 likes 58 plays 0 Course Code ICMS Publisher ICMS Licence Type All rights reserved Language English Date Created November 3rd, 2020
04:19 MLP Lecture 07 - Clip 09 - a Short History of CNNs MLP Lecture 07 - Clip 09 - a Short History of CNNs	MLP Lecture 07 - Clip 09 - a Short History of CNNs Machine Learning Practical (MLP) Lecture 07, Clip 09 / 09. machine learning deep learning times maps feature network size image nets class performance networks kernel features gradients lecture layers probability classes error classification model From Pavlos Andreadis on November 2nd, 2020 1 likes 145 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
22:15 IDS - Week 07 - 02 - Misrepresentation IDS - Week 07 - 02 - Misrepresentation	IDS - Week 07 - 02 - Misrepresentation Misrepresentation of data and results data science rstats study axis week risk visualization counties error kind bars picture article margin election difference things level misrepresentation scale axes lot From Mine Cetinkaya-Rundel on November 2nd, 2020 0 likes 22 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
19:30 USMR lecture 7 part 3 USMR lecture 7 part 3	USMR lecture 7 part 3 multiple regression usmr psychology ppls statistics rstats age model week hours predictor predictors intercept variance bit squares observation reading sums error slope models regression mod times residuals From Martin Corley on November 1st, 2020 0 likes 121 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 1st, 2020
18:34 RMS2 (20-21): 7.6 RMS2 (20-21): 7.6	RMS2 (20-21): 7.6 tests error alpha test probability level effect statistic comparisons procedure minus distribution lots difference adjustment chef statistics threshold bonferroni literature From Thomas Booth on November 1st, 2020 0 likes 234 plays 0
14:07 RMS2 (20-21): 7.2 RMS2 (20-21): 7.2	RMS2 (20-21): 7.2 variation model linear outcome conditions variance things error test variable condition variables anova groups children comprehension drug predictors category levels From Thomas Booth on November 1st, 2020 0 likes 286 plays 0
07:11 CL - 5x - Supplementary on Sequents CL - 5x - Supplementary on Sequents	CL - 5x - Supplementary on Sequents This video includes a couple of points from a 2019 review lecture on Sequents.First we discuss how to use reduction to find an inhabited model in which Γ ⊨ Δ, which is equivalent to… inf1a introduction to computation informatics 1 computation and logic sequent calculus delta things gamma left thing model universe satisfies end question sets sequence singleton error counterexample rules elements haskell notation confusion From Haoran Peng on October 30th, 2020 0 likes 10 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English

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