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27:31 EEA 2021 - Linear Regression EEA 2021 - Linear Regression	EEA 2021 - Linear Regression Lecture for linear regression and non-parametric equivalent. linear regression model variable correlation analysis relationship variables variance residuals heteroscedasticity bit models assumption variation values assumptions log test x. From Kyle Dexter on March 4th, 2021 0 likes 38 plays 0 Licence Type Creative Commons - Attribution Non Commercial
40:21 UK-APASI in Mathematical Sciences: Zindoga… UK-APASI in Mathematical Sciences: Zindoga Mukandavire (Lecture 5)	UK-APASI in Mathematical Sciences: Zindoga Mukandavire (Lecture 5) Subtitles will be added soon. Tuesday 23 February 2021 UK-APASI in Mathematical Sciences Zindoga Mukandavire - Introduction to modelling module lot modelling model variables systems modules variable times equations things flow models coffee thing reality epidemiologists characteristics rate problem From Liam Holligan on February 23rd, 2021 0 likes 32 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created February 23rd, 2021
01:04:43 On the joint moments of characteristic… On the joint moments of characteristic polynomials of random unitary matrices - Theo Assiotis	On the joint moments of characteristic polynomials of random unitary matrices - Theo Assiotis VISS online seminar series On the joint moments of characteristic polynomials of random unitary matrices Theo Assiotis (Edinburgh) 10 February 2021 An automated programme is used to generate the… mathematics function expression moments integer measure matrix formula measures moment variable matrices probability parameters functions conjecture age point variables thing zeros From GILLIAN KERR on February 10th, 2021 0 likes 18 plays 0 Licence Type All rights reserved Language english Date Created February 10th, 2021
19:12 dapr2(20-21)15.1 dapr2(20-21)15.1	dapr2(20-21)15.1 Lect29a squares effect variance sums sum variables beta variable age predictor gender effects predictors x1 proneness account accounts anger stuff semester From Leonidas Doumas on February 7th, 2021 0 likes 184 plays 0 Licence Type All rights reserved
10:31 dapr1 - hypothesis testing and CIs (c) dapr1 - hypothesis testing and CIs (c)	dapr1 - hypothesis testing and CIs (c) Part C uoepsy sample population treatment difference means outcome unit hypothesis values distribution leniency interest bootstrap students groups effect study units variable times b. From Umberto Noe on January 31st, 2021 0 likes 198 plays 0 Licence Type All rights reserved The University of Edinburgh
06:56 FDS-S2-03-1-4 Issues in A/B testing FDS-S2-03-1-4 Issues in A/B testing	FDS-S2-03-1-4 Issues in A/B testing We discuss the issue of statistical versus practical significance, think a little about the ethics of A/B testing, and situate A/B testing in the wider class of statistical inference from 2 samples. inf2-fds testing lot distributions samples participants experiment ab difference button effect methods temperature tests groups semester variable investigations topic bit users From David Sterratt on January 28th, 2021 0 likes 120 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 28th, 2021
20:41 9.c 9.c	9.c This is the third video of the Inf2D lecture on Smart Searching using Constraints. inf2d reasoning and agents artificial intelligence constraints csp australia variable values variables arc neighbours domain algorithm node constraint wales colour options queensland territory failure source colours problems From Claudia-Elena Chirita on January 26th, 2021 0 likes 166 plays 0 Course Code INFR08010 Licence Type All rights reserved The University of Edinburgh Language English
31:17 9.a 9.a	9.a This is the first video of the Inf2D lecture on Smart Searching using Constraints. inf2d reasoning and agents artificial intelligence constraints backtracking variables constraint problem problems values satisfaction assignment times algorithm australia ccs things domain variable space graph colours solution letters From Claudia-Elena Chirita on January 26th, 2021 0 likes 179 plays 0 Course Code INFR08010 Licence Type All rights reserved The University of Edinburgh Language English
09:13 9.b 9.b	9.b This is the second video of the Inf2D lecture on Smart Searching using Constraints. inf2d reasoning and agents artificial intelligence csp constraints constraint satisfaction algorithm values variable level assignments assignment variables territory australia function problem domain depth problems backtracking From Claudia-Elena Chirita on January 26th, 2021 0 likes 151 plays 0 Course Code INFR08010 Licence Type All rights reserved The University of Edinburgh Language English
11:51 dapr1 - hypothesis testing: critical values (a) dapr1 - hypothesis testing: critical values (a)	dapr1 - hypothesis testing: critical values (a) Part A uoepsy task effect difference sample stroop colour mismatching matching population column participant completion variable words colours times deviation columns word participants From Umberto Noe on January 24th, 2021 0 likes 300 plays 0 Licence Type All rights reserved The University of Edinburgh
17:50 FDS-S2-02-2-1 Principle of logistic regression FDS-S2-02-2-1 Principle of logistic regression	FDS-S2-02-2-1 Principle of logistic regression We introduce the principle of logisitc regression, illustrating its application to a credit approval dataset. We also introduce the concepts of odds and odds ratios. inf2-fds regression odds probability beta approval success x. age variable function coefficients variables credit ratio minus curve classification naught linear times From David Sterratt on January 19th, 2021 0 likes 184 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 19th, 2021
08:57 FDS-S2-01-2-5 Definition of confidence intervals FDS-S2-01-2-5 Definition of confidence intervals	FDS-S2-01-2-5 Definition of confidence intervals We give a formal definition of confidence intervals, and show how the random interval can be converted to a random variable inf2-fds interval estimator theta error variable standard times definition confidence probability hat statement alpha minus cases variables parameter sample formulation quantity From David Sterratt on January 15th, 2021 0 likes 150 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 15th, 2021
11:34 FDS-S2-01-2-2 Bias and variance FDS-S2-01-2-2 Bias and variance	FDS-S2-01-2-2 Bias and variance We'll introduce the concept of bias and variance of estimators. inf2-fds estimator variance distribution bias sample expectation estimate parameter theta error bar hat bit estimators variable mu samples difference minus sense From David Sterratt on January 14th, 2021 0 likes 185 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 14th, 2021
09:10 PGHC11506 Ancient Egyptian Hieroglyphs: Week 2… PGHC11506 Ancient Egyptian Hieroglyphs: Week 2 Nouns and Adjectives	PGHC11506 Ancient Egyptian Hieroglyphs: Week 2 Nouns and Adjectives Video by Dr Zsuzsanna Vegh for Ancient Egyptian Hieroglyphs Introduction: Week 2 hca noun word objective cat woman nouns phrase cases words lecture pre thing head gender objectives scribes arrangement strokes god variable From Anna Raczynski on January 11th, 2021 0 likes 27 plays 0 Course Code PGHC11506 Publisher The University of Edinburgh Licence Type All rights reserved The University of Edinburgh
15:22 NLU+ Lecture 3: Conditional Language Modelling… NLU+ Lecture 3: Conditional Language Modelling with n-grams (2019 version)	NLU+ Lecture 3: Conditional Language Modelling with n-grams (2019 version) Machine Translation Model informatics nlu model word parameters translation words alignment sentence algorithm probability things counts variable thing models question lot likelihood stuff language problem From Ruairi O'Hare on December 17th, 2020 0 likes 6 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created December 17th, 2020
30:16 NLU+ Lecture 3: Conditional Language Modelling… NLU+ Lecture 3: Conditional Language Modelling with n-grams (2019 version)	NLU+ Lecture 3: Conditional Language Modelling with n-grams (2019 version) Conditional Language Models informatics nlu language things model word probability models notation thing sort distribution function words sequence variables stuff bit lecture likelihood variable star From Ruairi O'Hare on December 17th, 2020 0 likes 8 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created December 29th, 2020

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