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52:00 AI & Pastoral Care for Christian Churches -… AI & Pastoral Care for Christian Churches - 'Artificial Compassion / Delegated Compassion: A Highway to Hell or Heaven?'	AI & Pastoral Care for Christian Churches - 'Artificial Compassion / Delegated Compassion: A Highway to Hell or Heaven?' As part of the AI & Pastoral Care for Christian Churches conference, Dr Eric Stoddart (Lecturer in Practical Theology, University of St Andrews) delivers a talk titled 'Artificial Compassion… divinity new college ai & pastoral care for christian churches intelligence love compassion care contingency ai limits mortality systems experience recognition point horizon decision road sensation algorithms animals god pattern From Rory Dunlop 0 likes 3 plays 0 Publisher School of Divinity Licence Type All rights reserved The University of Edinburgh Language English Date Created December 16th, 2022
48:22 PGCAP Block 2 class recording 13:00-13:45 Using… PGCAP Block 2 class recording 13:00-13:45 Using evidence to support teaching	PGCAP Block 2 class recording 13:00-13:45 Using evidence to support teaching PGCAP Block 2 class recording 13:00-13:45 Using evidence to support teaching pgcap student engagement teaching students feedback approach things slides thing learning session block surface blogs observation assessment colleague kind 13th point questions peer From Catherine Bovill 0 likes 8 plays 0 Publisher Catherine Bovill Licence Type All rights reserved The University of Edinburgh Language English Date Created December 7th, 2022 Retain Source File Yes
56:35 Social Media Social Media	Social Media Marie Storrar share her expertise on building a stellar social media presence using personas, data and creative magic. marie storrar social media personas design community things kind students lot target piece stuff bit point content audience colleagues thing numbers experience image templates problem brand quality From Ann Harrison 0 likes 3 plays 0 Publisher Ann Harrison Licence Type All rights reserved The University of Edinburgh Language English(UK) Date Created December 6th, 2022 Retain Source File Yes
01:06:31 'Reality checking for Historians',… 'Reality checking for Historians', Professor Julian Goodare	'Reality checking for Historians', Professor Julian Goodare How do historians study people? We evaluate our evidence, obviously. I argue that we sometimes perform a 'reality check' on our evidence, applying human insight to it. This is a small… public lecture history evidence century reality point murder bit horse julian things scotland man past humans charity person question behaviour historians davis From Rose Day 0 likes 65 plays Licence Type All rights reserved The University of Edinburgh
41:36 Algebraic Geometry - history, challenges and… Algebraic Geometry - history, challenges and applications	Algebraic Geometry - history, challenges and applications What do algebra and geometry have to do with cryptography and how we can keep our information safe? Join us at this public talk to find out! This talk was part of the Birational Geometry and… icms mathematics cryptography algebra algebraic geometry geometry point points curve remainder alice infinity plane solution equation solutions object operation bob integer element method From Greg McCracken 0 likes 21 plays 0 Publisher ICMS Licence Type All rights reserved Language English Date Created November 22nd, 2022
53:55 23 November 2022 Ulrike Tillmann - Strings and… 23 November 2022 Ulrike Tillmann - Strings and surfaces	23 November 2022 Ulrike Tillmann - Strings and surfaces 23 Nov 2022 Ulrike Tillmann , Isaac Newton Institute, CambridgeStrings and surfaces icms maths online seminars space manifold dimension point euler surfaces manifolds thing category surface vector characteristic boundary formula points field bit maps money theory From Greg McCracken 0 likes 92 plays 0 Licence Type All rights reserved Date Created November 23rd, 2022
33:43 AML: Non-Linear Dimensionality Reduction -… AML: Non-Linear Dimensionality Reduction - Visualisation	AML: Non-Linear Dimensionality Reduction - Visualisation Applied Machine Learning - INFR11211 AML: Non-Linear Dimensionality Reduction - Visualisation Part 2/2 aml machine learning dimensionality reduction visualisation space distance points embedding graph manifold measure point distances distribution neighbours linear dataset things weights methods reduction dimensionality iso sne From Siddharth N 0 likes 157 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
20:03 Strategic Marketing Unit 2.3 Strategic Marketing Unit 2.3	Strategic Marketing Unit 2.3 Strategic Marketing Unit 2.3 strategic marketing decision consumer purchase consumers stage process brands evaluation making brand behaviour model experience point journey stages marketing idea consideration risk omba From Alison Christie 0 likes 25 plays 0 Publisher Alison Christie Licence Type All rights reserved The University of Edinburgh Date Created November 3rd, 2022
18:28 AML: Clustering - Evaluation AML: Clustering - Evaluation	AML: Clustering - Evaluation Applied Machine Learning - INFR11211 AML: Clustering - Evaluation Part 3/3 aml machine learning clustering evaluation cluster clusters points class distance measure reference labels classification rand score question means point silhouette situation things pairs From Siddharth N 0 likes 169 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
23:54 AML: Clustering - Hierarchical Clustering AML: Clustering - Hierarchical Clustering	AML: Clustering - Hierarchical Clustering Applied Machine Learning - INFR11211 AML: Clustering - Hierarchical Clustering Part 2/3 aml machine learning clustering hierarchical clustering clusters distance points cluster distances process algorithm level means step things pairwise point hierarchy pairs approach j. formulation measure From Siddharth N 0 likes 188 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
17:14 AML: Clustering - K-Means AML: Clustering - K-Means	AML: Clustering - K-Means Applied Machine Learning - INFR11211 AML: Clustering - K-Means Part 1/3 aml machine learning clustering cluster clusters points distance centroid centroids inter point colours measure dataset groups kinds values idea means distances colour algorithms From Siddharth N 0 likes 178 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
12:24 AML: Model Selection - Direct Comparison AML: Model Selection - Direct Comparison	AML: Model Selection - Direct Comparison Applied Machine Learning - INFR11211 AML: Model Selection - Direct Comparison Part 1/2 aml machine learning model evaluation model measures models variation regression things difference question choice values test predictions disparity recall effects point errors splits accuracy learning From Siddharth N 0 likes 161 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
11:22 AML: Generalisation - What is it? AML: Generalisation - What is it?	AML: Generalisation - What is it? Applied Machine Learning - INFR11211 AML: Generalisation - What is it? Part 1/3 model capacity training regularities test error degree parameters generalisation polynomial flexibility point space examples lot reason linear hyperparameter hyperparameters dataset From Siddharth N 0 likes 175 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
15:30 AML: Optimisation - Stochastic Gradient Descent AML: Optimisation - Stochastic Gradient Descent	AML: Optimisation - Stochastic Gradient Descent Applied Machine Learning - INFR11211 AML: Optimisation - Stochastic Gradient Descent Part 3/3 gradient descent points point things direction gradients error minimum function step dataset problems estimate weight variance estimator space sum loss From Siddharth N 0 likes 177 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
15:58 AML: Optimisation - Gradient Descent AML: Optimisation - Gradient Descent	AML: Optimisation - Gradient Descent Applied Machine Learning - INFR11211 AML: Optimisation - Gradient Descent Part 2/3 aml machine learning optimisation gradients function gradient step direction error size weight times algorithm rate point weights optimization region learning perturbation steps taylor descent From Siddharth N 0 likes 199 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
30:19 [IRR 20220] Lecture 3.1 Referencing [IRR 20220] Lecture 3.1 Referencing	[IRR 20220] Lecture 3.1 Referencing This is a lecture on referencing got the Informatics Research Review course. references citation paraphrase quoting reference source text author quotation sources ideas words citations point quality style knowledge instance argument marks idea article From Aurora Constantin 0 likes 57 plays 0 Course Code INFR11136 Publisher Aurora Constantin Licence Type All rights reserved The University of Edinburgh

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