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Introduction to R: Part 3 duration 31 minutes 17 seconds Introduction to R: Part 3 Introduction to R: Part 3	Introduction to R: Part 3 This video is Part 3/3. This event aligns with the Digital creation, problem solving and innovation competency on the University's Digital Skills Framework. This course is aimed for those who… digital skills and training r programming graph colour bars plot axis function histogram weight table dataset bar quality theme plants box bins diet attribute variable title From Catherine Koppe 0 likes 14 plays 0 Licence Type Creative Commons - Attribution Language English Date Created December 13th, 2023
Kaltura Capture recording - October 3rd 2020,… duration 23 minutes 50 seconds Kaltura Capture recording - October 3rd 2020,… Kaltura Capture recording - October 3rd 2020, 8:35:07 pm	Kaltura Capture recording - October 3rd 2020, 8:35:07 pm lecture 4 part 2 rationalists lecture 4 part 2 ideas body idea god bodies mind thought thing spinoza attributes modes proposition friend parts extension mode attribute connection substance things From Pauline Phemister 0 likes 36 plays 0 Course Code PHIL10086 Licence Type Creative Commons - Attribution Date Created October 3rd, 2020
Clip of Lecture 3 part 2 Kaltura Capture… duration 18 minutes 3 seconds Clip of Lecture 3 part 2 Kaltura Capture… Clip of Lecture 3 part 2 Kaltura Capture recording - September 20th 2020, 1:33:38 pm	Clip of Lecture 3 part 2 Kaltura Capture recording - September 20th 2020, 1:33:38 pm Lecture 3, part 2 rationalists lecture 3 part 2 monism proposition 5 spinoza attributes attribute god substances substance proposition essence definition moods demonstration ideas mind nature ethics modes thing objection things point From Pauline Phemister 0 likes 18 plays 0 Course Code PHIL10086 Licence Type Creative Commons - Attribution Date Created September 20th, 2020
Lecture 3 part 2 Kaltura Capture recording -… duration 18 minutes 3 seconds Lecture 3 part 2 Kaltura Capture recording -… Lecture 3 part 2 Kaltura Capture recording - September 20th 2020, 1:33:38 pm	Lecture 3 part 2 Kaltura Capture recording - September 20th 2020, 1:33:38 pm Lecture 3, part 2 rationalists lecture 3 part 2 monism proposition 5 attributes god substances attribute substance proposition essence definition spinoza moods demonstration mind ideas modes nature ethics thing objection things point From Pauline Phemister 0 likes 32 plays 0 Course Code PHIL10086 Licence Type Creative Commons - Attribution Date Created September 20th, 2020
lecture 3 part 1 Kaltura Capture recording -… duration 19 minutes 10 seconds lecture 3 part 1 Kaltura Capture recording -… lecture 3 part 1 Kaltura Capture recording - September 20th 2020, 10:07:16 am	lecture 3 part 1 Kaltura Capture recording - September 20th 2020, 10:07:16 am lecture 3, part 1 rationalists lecture 3 part 1 powerpoint substance god proposition attributes attribute spinoza thing substances definition essence reality demonstration ethics extension experience thinking descartes lecture intellect ideas From Pauline Phemister 0 likes 44 plays 0 Course Code PHIL10086 Licence Type Creative Commons - Attribution Date Created September 20th, 2020
Lecture 1 Part 3 Kaltura Capture recording -… duration 17 minutes 22 seconds 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 0 likes 45 plays 0 Course Code PHIL10086 Licence Type Creative Commons - Attribution Date Created September 10th, 2020
When principal components fail duration 1 minute 51 seconds 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 1 likes 2,165 plays 0 Licence Type Creative Commons - Attribution
Eigenvalue = variance along eigenvector duration 6 minutes 2 seconds 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 1 likes 2,387 plays 0 Licence Type Creative Commons - Attribution
Eigenvector = direction of maximum variance duration 11 minutes 54 seconds 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 2 likes 3,014 plays 0 Licence Type Creative Commons - Attribution
Principal components = eigenvectors duration 8 minutes 27 seconds 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 1 likes 3,299 plays 0 Licence Type Creative Commons - Attribution
Tackling the curse of dimensionality duration 3 minutes 59 seconds 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 1 likes 2,793 plays 0 Licence Type Creative Commons - Attribution
The curse of dimensionality duration 2 minutes 47 seconds The curse of dimensionality The curse of dimensionality	The curse of dimensionality The curse of dimensionality iaml pca space regions observations examples points attribute training times problem dimensionality lots dataset decision curse inference zeros cells lot accounts dimensions From Nigel Goddard 2 likes 2,797 plays 0 Licence Type Creative Commons - Attribution
Data manifolds in high-dimensional spaces duration 3 minutes 54 seconds Data manifolds in high-dimensional spaces Data manifolds in high-dimensional spaces	Data manifolds in high-dimensional spaces Data manifolds in high-dimensional spaces iaml pca space digits dimensionality pixels structure text pen digit examples things binary bitmaps point points lots attribute dimensions images rendering stroke From Nigel Goddard 2 likes 2,774 plays 0 Licence Type Creative Commons - Attribution
Real dimensionality vs observed dimensionality duration 3 minutes 48 seconds 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 1 likes 3,264 plays 0 Licence Type Creative Commons - Attribution
Gaussian mixture model (GMM) duration 8 minutes 53 seconds 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 0 likes 3,282 plays 0 Licence Type Creative Commons - Attribution
K-means for image representation duration 9 minutes 11 seconds K-means for image representation K-means for image representation	K-means for image representation K-means for image representation iaml k-means patches image patch vector feature labels vectors lots representation cluster grass images color attribute bunch label histogram problem representations occurrences From Nigel Goddard 1 likes 2,332 plays 0 Licence Type Creative Commons - Attribution