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14:10 USMR lecture 2 part 3 USMR lecture 2 part 3	USMR lecture 2 part 3 RStudio demonstration of central limit theorem usmr psychology ppls statistics rstats sample function heights density population thing distribution curve plot means things height bit histogram deviation couple shape bell fact lot From Martin Corley on September 20th, 2020 0 likes 0 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created September 20th, 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 1 plays 0 Licence Type All rights reserved
11:27 dapR2 (20-21): 4.1 dapR2 (20-21): 4.1	dapR2 (20-21): 4.1 Data Analysis in Psychology in R 2, 2020/21.Week 4Lecture 1 model study linear variable intercept students variables score levels test predictor beta values difference interpretations models coefficient predictors means question From Thomas Booth on September 14th, 2020 0 likes 2 plays 0 Licence Type All rights reserved The University of Edinburgh
07:19 dapR2 (20-21) 1.3 dapR2 (20-21) 1.3	dapR2 (20-21) 1.3 Data Analysis in Psychology in R 2, 2020/21.Week 1Lecture 3 test hypothesis statistic groups distribution difference differences side probability question significance lots level probabilities means material week structure testing process From Thomas Booth on September 11th, 2020 0 likes 122 plays 0 Licence Type All rights reserved The University of Edinburgh
01:24 Dr Tom MacGillivray - Research in a nutshell Dr Tom MacGillivray - Research in a nutshell	Dr Tom MacGillivray - Research in a nutshell Hear from Dr Tom MacGillivray, a Senior Research Fellow as he highlights the main focus of his research - how retinal imaging might tell us more about human body & brain health, especially in… dr tom macgillivray edinburgh imaging research in a nutshell senior research fellow retinal imaging brain stroke dementia blood eye retina vessels body edinburgh alzheimer onset signs disease response means pressure problems doctors tool future adventure From Chloe Martin on June 20th, 2018 0 likes 97 plays 0 Publisher Edinburgh Imaging Licence Type All rights reserved The University of Edinburgh Language English Date Created June 20th, 2018
03:25 Divisive clustering (top-down) Divisive clustering (top-down)	Divisive clustering (top-down) Divisive clustering (top-down) iaml hierarchical clustering points cluster means iteration clusters singleton algorithm subset groups property clustering factor instances base depth splits iterations half operation complexity From Nigel Goddard on September 25th, 2016 1 likes 1,414 plays 0 Licence Type Creative Commons - Attribution
00:29 Summary Summary	Summary Summary iaml hierarchical clustering mixture clustering models probabilities algorithm em boundary model techniques canes means ways populations From Nigel Goddard on September 25th, 2016 1 likes 935 plays 0 Licence Type Creative Commons - Attribution
08:52 Single-link, complete-link, Ward's method Single-link, complete-link, Ward's method	Single-link, complete-link, Ward's method Single-link, complete-link, Ward's method diameter chain point color yellow cluster individual connect measure caption complete clustering circles single linkage merge length smallest connecting distance metric deviation iaml internet protocols complete closest means merge red hierarchical clustering optical spectrum effects libertarian theory merging blue individualism distance algorithm average pretend iteration euclidean political philosophy euclidean geometry points clusters pairs pair deviations chains linkage centroid radius c2 c1 metric result From Nigel Goddard on September 25th, 2016 1 likes 1,671 plays 0 Licence Type Creative Commons - Attribution
04:06 Flat vs hierachical clustering Flat vs hierachical clustering	Flat vs hierachical clustering Flat vs hierachical clustering iaml hierarchical clustering clusters cluster hierarchy groupings level strategy bottom question pairs tree individuals subgroups individual subclusters point points bit algorithm means partition From Nigel Goddard on September 25th, 2016 1 likes 1,397 plays 0 Licence Type Creative Commons - Attribution
03:00 Linear discriminant analysis Linear discriminant analysis	Linear discriminant analysis Linear discriminant analysis iaml pca class projection lda means dimension classifier variance direction counterexamples variances difference accuracy classification reds greens problem linear threshold hand From Nigel Goddard on September 25th, 2016 1 likes 1,172 plays 0 Licence Type Creative Commons - Attribution
03:56 How many principal components to use How many principal components to use	How many principal components to use How many principal components to use iaml pca variance eigenvalues sum dimensions lambda eigenvectors point dimensionality graph space decrease elbow inflection plot means scri sentences numbers sense humans From Nigel Goddard on September 25th, 2016 1 likes 1,212 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 1,177 plays 0 Licence Type Creative Commons - Attribution
02:32 Introduction to mixture models Introduction to mixture models	Introduction to mixture models Introduction to mixture models iaml mixture-models clusters clustering cluster means probability methods parameters space distribution models mixture variances gaussian kind points ways dataset auto algorithm em From Nigel Goddard on September 25th, 2016 0 likes 1,801 plays 0 Licence Type Creative Commons - Attribution
07:59 How many Gaussians in the GMM How many Gaussians in the GMM	How many Gaussians in the GMM How many Gaussians in the GMM iaml mixture-models model likelihood gaussians components mixture parameters point gaussian points complexity numbers training quantity space means p. razor occam ways variance From Nigel Goddard on September 25th, 2016 0 likes 1,451 plays 0 Licence Type Creative Commons - Attribution
05:15 Visualizing the EM algorithm Visualizing the EM algorithm	Visualizing the EM algorithm Visualizing the EM algorithm iaml mixture-models gaussian points gaussians colors x1 variance numbers posteriors point rule bayes probability coloring bit differences estimate variances means mixture posterior From Nigel Goddard on September 25th, 2016 0 likes 1,909 plays 0 Licence Type Creative Commons - Attribution

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