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Producing a thesis or dissertation using Word -… duration 12 minutes 51 seconds Producing a thesis or dissertation using Word -… Producing a thesis or dissertation using Word - part 2 (Windows)	Producing a thesis or dissertation using Word - part 2 (Windows) A recording of the second demonstration of the Digital Skills & Training Team's "Producing a thesis or dissertation using Word" course. This demonstration, using Word 2021 for… digital skills and training digital skills microsoft word writing skills thesis dissertation image alt text layout caption cross-reference footnote text document word images cross options figure paragraph references demonstration captions reference label box footnotes chapter figures From Catherine Koppe 0 likes 7 plays 0 Publisher Catherine Koppe Licence Type Creative Commons - Attribution Language English Date Created March 25th, 2024
Producing a thesis or dissertation using Word -… duration 14 minutes 59 seconds Producing a thesis or dissertation using Word -… Producing a thesis or dissertation using Word - part 2 (Mac)	Producing a thesis or dissertation using Word - part 2 (Mac) A recording of the second demonstration of the Digital Skills & Training Team's "Producing a thesis or dissertation using Word" course. This demonstration, using Word for Mac… digital skills and training digital skills microsoft word writing skills thesis dissertation image text document caption images label figure insert word position footnote captions anchor references From Catherine Koppe 0 likes 56 plays 0 Publisher Catherine Koppe Licence Type Creative Commons - Attribution Language English Date Created November 29th, 2022
AML: Evaluation - Classification duration 25 minutes 54 seconds AML: Evaluation - Classification AML: Evaluation - Classification	AML: Evaluation - Classification Applied Machine Learning - INFR11211 AML: Evaluation - Classification Part 1/2 aml machine learning evaluation classification class model measure labels rate accuracy precision agreement proportion confusion thresholds label matrix recall distribution performance cost measures threshold kappa From Siddharth N 0 likes 481 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
DDC Session 5 Recording duration 2 hours 11 minutes DDC Session 5 Recording DDC Session 5 Recording	DDC Session 5 Recording Recording of session 5 (plotting) of data-driven chemistry 2021-22. data-driven chemistry python plot thing things bit point figure plots carbon axis axes colour sort label values matplotlib formula points column melting angle From James Cumby 0 likes 48 plays 0 Course Code CHEM08031 Licence Type Creative Commons - Attribution Language English Date Created October 21st, 2021 Retain Source File Yes
Target Detection and Recognition of Ground… duration 2 minutes 6 seconds Target Detection and Recognition of Ground… Target Detection and Recognition of Ground Penetrating Radar using Morphological Image Analysis and Graph Laplacian Regularisation - Jun Dong	Target Detection and Recognition of Ground Penetrating Radar using Morphological Image Analysis and Graph Laplacian Regularisation - Jun Dong SSPD 2021 Poster Lightning Presentation SessionPresenter: Jun DongPoster Title: Target Detection and Recognition of Ground Penetrating Radar using Morphological Image Analysis and Graph Laplacian… sspd 2021 method image target graph detection regularisation slide alarms result process ossification edge label pre node gar iodine feature processing erosion From Joe Burchell 0 likes 11 plays 0 Licence Type All rights reserved Language English Date Created October 14th, 2021
Using variables in Xerte duration 3 minutes 20 seconds Using variables in Xerte Using variables in Xerte	Using variables in Xerte Using variables in Xerte xerte xerte online toolkit answer question answers field feedback letters submit row grid properties numbers cheque distractors prompt play menu drop lowercase label brackets From Alison Christie 1 likes 55 plays 0 Publisher Alison Christie Licence Type All rights reserved The University of Edinburgh Date Created July 16th, 2021
Saat Mubarrok EVA Talk Preview duration 3 minutes 3 seconds Saat Mubarrok EVA Talk Preview Saat Mubarrok EVA Talk Preview	Saat Mubarrok EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Saat Mubarrok Talk Title: Annual Maximum Precipitation in Indonesia linked to Climate Variability: Extreme… eva icms theory solution model analysis extremes climate variability maximum annual values rainfall change indonesia base maxima oscillation station science dog label ocean amnesia place nation iud comparator demand millimetre From Anna Munro 0 likes 18 plays 0 Licence Type All rights reserved Language English
ASR Lecture 10 (part 2); Lecture 11 duration 57 minutes 0 seconds ASR Lecture 10 (part 2); Lecture 11 ASR Lecture 10 (part 2); Lecture 11	ASR Lecture 10 (part 2); Lecture 11 ASR Lecture 10 (part 2): Neural network models (1); ASR Lecture 11: Neural network models (2) speech recognition network networks probability bit speech recognition features output layer error weights outputs label delta things function hmm term lecture layers From Peter Bell 0 likes 106 plays 0 Licence Type Creative Commons - Attribution Non Commercial Date Created February 22nd, 2021
MLP Interviews - Leonie Bossemeyer duration 57 minutes 46 seconds MLP Interviews - Leonie Bossemeyer MLP Interviews - Leonie Bossemeyer	MLP Interviews - Leonie Bossemeyer Machine Learning Practical interviews - Winter 2020 - Session 2/4. Leonie Bossmeyer is an MSc graduate in Data Science at the University of Edinburgh, and is currently an MSc student in Quantitative… machine learning deep learning copulas density estimation embeddings gan generative adversarial networks normalising flows images image things distribution kind model thing lot bit buildings week damage question variables idea dataset questions flow task label From Pavlos Andreadis 1 likes 85 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
CL - 14e - DFA (II) duration 5 minutes 12 seconds CL - 14e - DFA (II) CL - 14e - DFA (II)	CL - 14e - DFA (II) We look at the representation of DFA in Haskell (using lists to represent the sets of the formal definition).In this video the code isDFA is defining what counts as a DFA when we use the black-hole… inf1a introduction to computation informatics 1 computation and logic hole transitions transition start dfa diagram arrow things q1 fsm convention string typing q. function q0 label beginning trace place From Haoran Peng 0 likes 189 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English
ML7: Logistic Classification duration 11 minutes 13 seconds ML7: Logistic Classification ML7: Logistic Classification	ML7: Logistic Classification Here, we introduce a logistic classifier and cover how it differs from a linear classifier. Then, we show how its parameters can be learnt by minimising the cross-entropy loss. Finally, we visualise… classifier loss class function probability points point parameters label outputs i. training linear boundary decision side contribution times minus thing From Elliot Crowley 0 likes 36 plays 0
ML6: Linear Classification duration 10 minutes 51 seconds ML6: Linear Classification ML6: Linear Classification	ML6: Linear Classification In this video, we are introduced to linear classifiers. These have parameters which weight input features, and output a scalar that is used to assign a point to a class. We learn that these… parameters classifier function loss output vector point error linear points respect bias parameter label hair toys times weight gradient minus From Elliot Crowley 0 likes 34 plays 0
IDS - Week 04 - 06 - AE: Hotels + data types duration 17 minutes 0 seconds IDS - Week 04 - 06 - AE: Hotels + data types IDS - Week 04 - 06 - AE: Hotels + data types	IDS - Week 04 - 06 - AE: Hotels + data types Application exercise walkthrough: Hotels + data types rstats data science character dollar function axis month label package months factor integer bit labels scales dataframe vector plot variable levels arrival visualization From Mine Cetinkaya-Rundel 0 likes 39 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
IDS - Week 03 - 07 - AE: Hotels + Data wrangling duration 30 minutes 57 seconds IDS - Week 03 - 07 - AE: Hotels + Data wrangling IDS - Week 03 - 07 - AE: Hotels + Data wrangling	IDS - Week 03 - 07 - AE: Hotels + Data wrangling Working through AE 04: Hotels + Data wrangling data science rstats bookings document adults exercise children adr chunk output function room babies error things variables resort baby arrival result child label From Mine Cetinkaya-Rundel 0 likes 56 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
Methods for Analysing Clinical Text duration 4 minutes 8 seconds Methods for Analysing Clinical Text Methods for Analysing Clinical Text	Methods for Analysing Clinical Text Methods for Analysing Clinical Text hds language processing machine sequence learning model vector techniques methods patient markov treatment medicine precision sense speech sequences labels label text From Matt Sanders 0 likes 496 plays 0 Course Code GLHE11086 Licence Type Creative Commons - Attribution
Economic Democracy Block3 v4 duration 1 minute 29 seconds Economic Democracy Block3 v4 Economic Democracy Block3 v4	Economic Democracy Block3 v4 Welcome to Economic Democracy: The Cooperative Alternative, our MOOC about worker-owned and worker-controlled firms. We often hear that political democracy is the best available form of… survey secondly exercise economy general course including carry firstly economic democracy labour-managed provided mooc union workers label start noting capital import firms caption complete worth centrally firm couple exercised labour-managed. effects ownership socialist points firstlt soviet From Nuria Fraile-Diaz 0 likes 6 plays 0 Licence Type All rights reserved The University of Edinburgh Language english