Search for tag: "attributes"

42 Media

17:22 Lecture 1 Part 3 Kaltura Capture recording -… Lecture 1 Part 3 Kaltura Capture recording - September 10th 2020, 2:59:52 pm	Lecture 1 Part 3 Kaltura Capture recording - September 10th 2020, 2:59:52 pm Lecture 1 part 3 rationalists week 1 lecture 1.3 substance spinoza attributes attribute god definitions modes essence ethics nature definition premises truth extension body substances proposition axioms thought mind From Pauline Phemister on September 10th, 2020 0 likes 7 plays 0 Course Code PHIL10086 Licence Type Creative Commons - Attribution Date Created September 10th, 2020
05:02 M2 W2 What do we mean by product? M2 W2 What do we mean by product?	M2 W2 What do we mean by product? M2 W2 Product digital marketing consumers features elements call firms characteristics ability core brand firm problem attributes competitors application consumer sale enterprise offering enables ads From Geoffrey Fortescue on July 31st, 2020 0 likes 4 plays 0 Licence Type Creative Commons - Attribution Non Commercial Share A Like
03:07 Adult Returners - Developing Additional Skill… Adult Returners - Developing Additional Skill Base - Neil Speirs	Adult Returners - Developing Additional Skill Base - Neil Speirs Dr Neil Speirs discusses the value of getting involved in extra curricular activities for adult returner students. March 2019 extra philosophical terminology community learning education undergraduate caption complete psychology working thinking opportunities international experience start responsibilities development business curriculum reflect undergraduate student effects hippie movement distinguish ontology adult returners classroom anthropology volunteering skills involved study graduation thing individuals cognition co-curricular attributes labor market sociology of culture From Colin McLean on March 28th, 2019 0 likes 20 plays 0 Publisher College of Arts, Humanities and Social Sciences Licence Type All rights reserved The University of Edinburgh Language English Date Created March 21st, 2019
02:39 Principal component analysis Principal component analysis	Principal component analysis Principal component analysis iaml pca hyperplane points coordinates variance space 3d point pc1 vectors sheet component coordinate pc3 direction dimensions technique attributes level r. From Nigel Goddard on September 25th, 2016 1 likes 1,577 plays 0 Licence Type Creative Commons - Attribution
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
03:56 Eigenface representation Eigenface representation	Eigenface representation Eigenface representation iaml pca face faces representation eigenfaces pixels bit eigenvector vector amount guy projection components average numbers coordinate result human phase attributes eigenvectors From Nigel Goddard on September 25th, 2016 1 likes 1,133 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 1,601 plays 0 Licence Type Creative Commons - Attribution
02:21 Feature selection and feature extraction Feature selection and feature extraction	Feature selection and feature extraction Feature selection and feature extraction iaml pca attributes feature structure ways extraction variables combination combinations classifier x3 x2 selection things goal vm function d. inputs subset left From Nigel Goddard on September 25th, 2016 0 likes 1,521 plays 0 Licence Type Creative Commons - Attribution
03:59 Tackling the curse of dimensionality Tackling the curse of dimensionality	Tackling the curse of dimensionality Tackling the curse of dimensionality iaml pca lot attributes regions assumption space attribute independence histograms observations domain features dimensionality symmetry thing cells neighboring probability distributions smoothness ability From Nigel Goddard on September 25th, 2016 1 likes 1,486 plays 0 Licence Type Creative Commons - Attribution
03:48 Real dimensionality vs observed dimensionality Real dimensionality vs observed dimensionality	Real dimensionality vs observed dimensionality Real dimensionality vs observed dimensionality iaml pca surface dataset temperature factor swahili height attributes lot ice heat region snow water roads accidents variables observations raffle attribute population From Nigel Goddard on September 25th, 2016 1 likes 1,729 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
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 1,744 plays 0 Licence Type Creative Commons - Attribution
03:46 Overview of k-means clustering Overview of k-means clustering	Overview of k-means clustering Overview of k-means clustering iaml k-means cluster lots question clusters attributes classes examples instance centroid individuals subpopulation means males machine vector labels bitmaps weight algorithm lecture From Nigel Goddard on September 25th, 2016 1 likes 1,484 plays 0 Licence Type Creative Commons - Attribution
02:53 Types of clustering algorithms Types of clustering algorithms	Types of clustering algorithms Types of clustering algorithms iaml k-means technique clustering boundaries tree cluster trees mixture point regions kd models kmeans lecture region attributes description level kind space end From Nigel Goddard on September 25th, 2016 1 likes 1,512 plays 0 Licence Type Creative Commons - Attribution
03:59 Inverted index Inverted index	Inverted index Inverted index iaml nearest neighbours structure lists technique instances attribute neighbors lots downside root complexity training trees account words attributes instance spots word text examples From Nigel Goddard on September 21st, 2016 1 likes 1,221 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