Search for tag: "digits"

7 Media

09:52 Topic 12: Classical Probability (PETARS, Chapter… Topic 12: Classical Probability (PETARS, Chapter 3)	Topic 12: Classical Probability (PETARS, Chapter 3) This video builds on empirical probability and defines the classical definition by considering equally probable outcomes. The video discusses several examples using that can be easily studied with… pgee11164 probability outcomes sequence definition sources problem cups events event die lecture arrangements position digits ordering input symbols target color cop From James Hopgood on September 3rd, 2020 0 likes 107 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 3rd, 2020
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 on September 25th, 2016 2 likes 1,937 plays 0 Licence Type Creative Commons - Attribution
03:59 MNIST digit recognition MNIST digit recognition	MNIST digit recognition MNIST digit recognition iaml nearest neighbours distance image examples training pixel bitmaps algorithm humans accuracy class bitmap digits task neighbor test images testing row digit neighbors From Nigel Goddard on September 21st, 2016 1 likes 1,659 plays 0 Licence Type Creative Commons - Attribution
05:21 Independence Assumption in Naive Bayes Independence Assumption in Naive Bayes	Independence Assumption in Naive Bayes Independence Assumption in Naive Bayes $400.00 variables probability iaml attribute philosophical terminology digit bitmap single individual consists caption complete estimating assumption black bunch pixel difficult independent product distribution number reason effects variable class compute independence assumption times probability theory classifier pixels variables bitmaps independence attributes probabilities numbers threes digits From Nigel Goddard on September 17th, 2016 1 likes 2,772 plays 0 Licence Type Creative Commons - Attribution
03:42 Role of Denominator in Naive Bayes Role of Denominator in Naive Bayes	Role of Denominator in Naive Bayes Role of Denominator in Naive Bayes probability point communication examples caption complete normalize classification things question symptoms instance isolates scientific method iaml digit normalizer patient separate problem difficulty posterior effects small number class distance observation suppose bunch representation model digits guy probabilities outlier patients instances points From Nigel Goddard on September 17th, 2016 1 likes 3,014 plays 0 Licence Type Creative Commons - Attribution
02:49 When Pixels Work as Attributes and When They… When Pixels Work as Attributes and When They Don't	When Pixels Work as Attributes and When They Don't When Pixels Work as Attributes and When They Don't iaml data digit digits pixels meaning lot stroke vision reason slant bitmap pixel input idea cases domain attributes transformation slants angles box From Nigel Goddard on September 17th, 2016 1 likes 1,876 plays 0 Licence Type Creative Commons - Attribution
04:18 Representing Handwritten Digits Representing Handwritten Digits	Representing Handwritten Digits Representing Handwritten Digits iaml data attributes bitmap pixel digit lots recognition handwriting envelope machine digits idea threshold lot representation representations paper problem pen device kind From Nigel Goddard on September 17th, 2016 1 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