Search for tag: "covariance"

19 Media

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 29 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created October 9th, 2020
10:12 dapr1_week4_lect1_2 dapr1_week4_lect1_2	dapr1_week4_lect1_2 learn values covariance variance numbers variables statistics score scores week relationships deviation lot equation things thing plots pattern deviations means x1 From Leonidas Doumas on September 18th, 2020 0 likes 258 plays 0 Licence Type All rights reserved
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 1 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 1 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 2 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 0 likes 2 plays 0 Licence Type All rights reserved The University of Edinburgh
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 1,143 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 1,234 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 1,245 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 1,603 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 1,490 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 1,704 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 1,179 plays 0 Licence Type Creative Commons - Attribution
08:53 Gaussian mixture model (GMM) Gaussian mixture model (GMM)	Gaussian mixture model (GMM) Gaussian mixture model (GMM) iaml mixture-models gaussian covariance points matrix instance point gaussians attribute deviation inverse weights coloring posteriors b. target thing attributes importance a. c. From Nigel Goddard on September 25th, 2016 0 likes 1,755 plays 0 Licence Type Creative Commons - Attribution
02:26 Example where Naive Bayes Fails Example where Naive Bayes Fails	Example where Naive Bayes Fails Example where Naive Bayes Fails weight independent problem height children caption complete variance positive differentiates iaml separate naive covariance effects attributes distinguish estimate difference class condition correlated black class points hopeless correlation situation distribution red class gaussian classes bayes adults thing independence base alright beta physics From Nigel Goddard on September 17th, 2016 1 likes 2,626 plays 0 Licence Type Creative Commons - Attribution
03:17 Generative vs Discriminative Generative vs Discriminative	Generative vs Discriminative Generative vs Discriminative iaml logistic regression probability input bayes output covariance linear sigma variable weights classifier sigmoid classifiers approach model cane form values bernoulli component priors From Nigel Goddard on September 8th, 2016 0 likes 1,980 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