Search for tag: "covariance"

22 Media

31:39 One World Virtual Seminar Series - Stochastic… One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Sonja Cox (University of Amsterdam)	One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Sonja Cox (University of Amsterdam) Automated subtitles will appear on this video. Click "cc" to turn subtitles off. One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Sonja Cox (University of… icms norm field operator element beta convergence power covariance minus kappa alpha correlation function approximation proof rate error supremum fields method From Liam Holligan on November 18th, 2020 0 likes 39 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created November 18th, 2020
55:46 One World Virtual Seminar Series - Stochastic… One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Marta Sanz-Sole (Barcelona)	One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Marta Sanz-Sole (Barcelona) Automated subtitles will appear on this video. Click "cc" to turn subtitles off. icms coefficients solution equation sigma condition space bar examples increments hypothesis measure power wave result conditions dimension hypotheses delta interval covariance From Liam Holligan on November 5th, 2020 0 likes 44 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created November 4th, 2020
08:40 USMR lecture 5 part 1 USMR lecture 5 part 1	USMR lecture 5 part 1 correlation, part 1 usmr psychology ppls statistics rstats covariance observations differences variables numbers correlation miles side hand deviation chart bar means reaction alcohol blood bit sum population calculation From Martin Corley on October 9th, 2020 0 likes 149 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created October 9th, 2020
01:07:16 Research and teaching in statistical and data… Research and teaching in statistical and data sciences seminars - Eleni Matechou (University of Kent)	Research and teaching in statistical and data sciences seminars - Eleni Matechou (University of Kent) Eleni Matechou (University of Kent) Title: Environmental DNA as a monitoring tool at a single and multi-species level Abstract: Environmental DNA (eDNA) is a survey tool with rapidly expanding… research statistics data sciences species dna probability stage idea presence pcr sample error model covariance samples observation covariates sites lots factor kind thing water From OLLIE Quinn on October 2nd, 2020 0 likes 18 plays 0 Licence Type All rights reserved Language English Date Created October 2nd, 2020
21:36 5.2-part4: Expected value, covariance,… 5.2-part4: Expected value, covariance, correlation of jointly distributed RV (exercises)	5.2-part4: Expected value, covariance, correlation of jointly distributed RV (exercises) . ... expectation comma times sum y. formula table covariance persons individuals property trick homework variance variable square summation definition seat minus From Vesselin Velichkov on July 20th, 2020 0 likes 33 plays 0 Licence Type All rights reserved The University of Edinburgh
21:01 5.2-part3: Expected value, covariance,… 5.2-part3: Expected value, covariance, correlation of jointly distributed RV (exercises)	5.2-part3: Expected value, covariance, correlation of jointly distributed RV (exercises) . ... subscript times comma y. function covariance values computation sum table mu formula effects mass probability exercise variables sigma summation x. From Vesselin Velichkov on July 20th, 2020 0 likes 37 plays 0 Licence Type All rights reserved The University of Edinburgh
23:29 5.2-part2: Expected value, covariance,… 5.2-part2: Expected value, covariance, correlation of jointly distributed RV (cont.)	5.2-part2: Expected value, covariance, correlation of jointly distributed RV (cont.) . ... correlation variables values covariance sigma coefficient distribution comma region times minus y. 3d rho linear variance x. measurement probability expression From Vesselin Velichkov on July 20th, 2020 0 likes 34 plays 0 Licence Type All rights reserved The University of Edinburgh
24:46 5.2-part1: Expected value, covariance,… 5.2-part1: Expected value, covariance, correlation of jointly distributed RV	5.2-part1: Expected value, covariance, correlation of jointly distributed RV . ... variables values covariance subscript times distribution y. mu variance effects function space comma probability notice sum variable definition difference expectation From Vesselin Velichkov on July 20th, 2020 1 likes 42 plays 1 Licence Type All rights reserved The University of Edinburgh
02:55 Augmentation Augmentation	Augmentation Students and staff talk about the concept of automation in Learning and Teaching as part of the Near Future Teaching Project. The Near Future Teaching project is about working together to co-design… applications simulator develop information science too much tech oer discovery cc by caption complete philosophy disambiguation simulators literature university learning teaching developmental psychology notes learn user interface techniques student researches alternate monitor class multimedia communication reality challenges educational psychology ltw manipulate accessibility nft difference pedagogy students difficulties near future teacher digital education open educational resource thing internships transcript learning and teaching supplementary people near future teaching trajectories fantasies virtual effects technology cognitive science ontology anesthesia performance things exhibition problems dog pressure size scan touch covariance screen cow watchful notion eggs exhibitions works From Michael Gallagher on March 21st, 2018 0 likes 310 plays 0 Licence Type Creative Commons - Attribution Date Created April 17th, 2018
01:51 When principal components fail When principal components fail	When principal components fail When principal components fail iaml pca attribute linear thing variance covariance dimension projection component matrix sheet subspace subspaces mind variances deviation distances fact gazillion attributes From Nigel Goddard on September 25th, 2016 1 likes 1,528 plays 0 Licence Type Creative Commons - Attribution
03:48 Principal component analysis for the impatient Principal component analysis for the impatient	Principal component analysis for the impatient Principal component analysis for the impatient iaml pca dimension eigenvectors dimensions eigenvalues points space language matrix covariance height vector level hand sense duke bit grader worship ref From Nigel Goddard on September 25th, 2016 1 likes 1,652 plays 0 Licence Type Creative Commons - Attribution
06:02 Eigenvalue = variance along eigenvector Eigenvalue = variance along eigenvector	Eigenvalue = variance along eigenvector Eigenvalue = variance along eigenvector iaml pca eigenvector sum covariance variance lambda matrix thing times row ea attribute jth instances eigen elements component attributes 's summations dot From Nigel Goddard on September 25th, 2016 1 likes 1,666 plays 0 Licence Type Creative Commons - Attribution
11:54 Eigenvector = direction of maximum variance Eigenvector = direction of maximum variance	Eigenvector = direction of maximum variance Eigenvector = direction of maximum variance iaml pca vector variance covariance lambda attribute sum dot times element attributes numbers e. row eigenvector matrix equations equation derivative length points From Nigel Goddard on September 25th, 2016 2 likes 2,077 plays 0 Licence Type Creative Commons - Attribution
05:20 Finding eigenvalues and eigenvectors Finding eigenvalues and eigenvectors	Finding eigenvalues and eigenvectors Finding eigenvalues and eigenvectors iaml pca eigenvector matrix component length vector eigenvalues dimensions diagonal covariance unit thing components lambda equation eigenvectors eigenvalue values times determinant trick From Nigel Goddard on September 25th, 2016 1 likes 1,986 plays 0 Licence Type Creative Commons - Attribution
08:27 Principal components = eigenvectors Principal components = eigenvectors	Principal components = eigenvectors Principal components = eigenvectors iaml pca covariance matrix vector attribute minus slope points point dimension eigenvectors direction variance means numbers instance vectors dataset eigenvalues component plot From Nigel Goddard on September 25th, 2016 1 likes 2,251 plays 0 Licence Type Creative Commons - Attribution
03:50 Summary Summary	Summary Summary iaml mixture-models means covariance distances point likelihood mixture gaussians kmeans lot attributes axis thing distance gaussian mixtures difference components epsilon cluster initializations From Nigel Goddard on September 25th, 2016 0 likes 1,554 plays 0 Licence Type Creative Commons - Attribution

the university of edinburgh

University affiliations

The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336, VAT Registration Number GB 592 9507 00, and is acknowledged by the UK authorities as a “Recognised body” which has been granted degree awarding powers.

Unless explicitly stated otherwise, all material is copyright © The University of Edinburgh 2019. Course specific materials are created by University of Edinburgh staff for you to use in your studies. You should not share, publish or sell these outside the University