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23:50 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 33 plays 0 Course Code PHIL10086 Licence Type Creative Commons - Attribution Date Created October 3rd, 2020
18:03 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 17 plays 0 Course Code PHIL10086 Licence Type Creative Commons - Attribution Date Created September 20th, 2020
18:03 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 31 plays 0 Course Code PHIL10086 Licence Type Creative Commons - Attribution Date Created September 20th, 2020
19:10 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 39 plays 0 Course Code PHIL10086 Licence Type Creative Commons - Attribution Date Created September 20th, 2020
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 0 likes 42 plays 0 Course Code PHIL10086 Licence Type Creative Commons - Attribution Date Created September 10th, 2020
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 1 likes 2,033 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 1 likes 2,245 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 2 likes 2,803 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 1 likes 3,091 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 1 likes 2,613 plays 0 Licence Type Creative Commons - Attribution
02:47 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 2,606 plays 0 Licence Type Creative Commons - Attribution
03:54 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 2,594 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 1 likes 3,044 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 0 likes 3,073 plays 0 Licence Type Creative Commons - Attribution
09:11 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 2,193 plays 0 Licence Type Creative Commons - Attribution
02:31 Breaking ties between nearest neighbors Breaking ties between nearest neighbors	Breaking ties between nearest neighbors Breaking ties between nearest neighbors iaml nearest neighbours values neighbors ties distance distances attribute instance class examples function term reason dataset choices perturb hat concern tree decision bayes From Nigel Goddard 1 likes 2,423 plays 0 Licence Type Creative Commons - Attribution

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