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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 167 plays 0 Licence Type All rights reserved
10:44 FDS-S2-03-1-3 Large sample theory of A/B testing FDS-S2-03-1-3 Large sample theory of A/B testing	FDS-S2-03-1-3 Large sample theory of A/B testing We work through how to apply large-sample theory to A/B testing. inf2-fds hat variance error minus standard estimator confidence expression b. interval estimate difference equation things parameter proportions sense alpha numbers population From David Sterratt on January 28th, 2021 0 likes 117 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 28th, 2021
13:08 FDS-S2-01-2-7 Bootstrap confidence intervals FDS-S2-01-2-7 Bootstrap confidence intervals	FDS-S2-01-2-7 Bootstrap confidence intervals We introduce the bootstrap method of estimating confidence intervals inf2-fds sample bootstrap distribution confidence interval regression population variance estimate star bootstrapping table replacement loop things estimator idea coefficients coefficient intervals From David Sterratt on January 15th, 2021 0 likes 134 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 15th, 2021
09:05 FDS-S2-01-2-3 Standard error FDS-S2-01-2-3 Standard error	FDS-S2-01-2-3 Standard error We introduce the standard error of an estimator and, in particular, the standard error of the mean. inf2-fds error standard distribution deviation estimator sigma root hat sample estimate variance replication samples n. estimates simulations size subscript thing parameter From David Sterratt on January 14th, 2021 0 likes 161 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 14th, 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 172 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 14th, 2021
13:46 Intro to Piazza Discussion Forum Intro to Piazza Discussion Forum	Intro to Piazza Discussion Forum A quick introduction to Piazza uoepsy question answer bar editor button formula questions discussion settings instructor students summary variance sample picture pin menu instructors thing equations From Umberto Noe on January 6th, 2021 0 likes 186 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created January 6th, 2021
48:25 Likely instabilities in liquid crystal elastomers… Likely instabilities in liquid crystal elastomers - Angela Mihai	Likely instabilities in liquid crystal elastomers - Angela Mihai Continuum Mechanics Seminar Series Angela Mihai (Cardiff University) Likely instabilities in liquid crystal elastomers Friday 18 December 2020 An automated programme is used to generate the subtitles… mathematics deformation stress material crystal rubber model behaviour load probability mu parameters gradient function direction elastomers director parameter striping elasticity variance From GILLIAN KERR on December 18th, 2020 0 likes 31 plays 0 Licence Type All rights reserved Language english Date Created December 18th, 2020
15:34 USMR lecture 10 part 1 USMR lecture 10 part 1	USMR lecture 10 part 1 ANOVA vs GLM usmr psychology ppls statistics rstats model linear anova analysis things utility variance table bit reaction slide fact distribution times toy play regression lecture lots measures From Martin Corley on November 27th, 2020 0 likes 116 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 27th, 2020
15:30 USMR lecture 9 part 2 USMR lecture 9 part 2	USMR lecture 9 part 2 probability, odds, log odds usmr psychology ppls statistics rstats odds probability quality values competition hand observations side bin log infinity variance probabilty linear things bit outcome times assumption model From Martin Corley on November 15th, 2020 0 likes 150 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 15th, 2020
19:30 USMR lecture 7 part 3 USMR lecture 7 part 3	USMR lecture 7 part 3 multiple regression usmr psychology ppls statistics rstats age model week hours predictor predictors intercept variance bit squares observation reading sums error slope models regression mod times residuals From Martin Corley on November 1st, 2020 0 likes 176 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 1st, 2020
08:51 MLP Lecture 06 - Clip 02 - Weight Initialization MLP Lecture 06 - Clip 02 - Weight Initialization	MLP Lecture 06 - Clip 02 - Weight Initialization Machine Learning Practical (MLP) Lecture 06, Clip 02 / 05. machine learning deep learning variance distribution weights units output input backpropagation inputs range practice network hour idea outputs beginning problem deviation initialization root expectation From Pavlos Andreadis on October 24th, 2020 1 likes 189 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
14:13 USMR lecture 6 part 2 USMR lecture 6 part 2	USMR lecture 6 part 2 The linear model: coefficients, R^2, F usmr psychology ppls statistics rstats model squares alcohol blood freedom sum degrees graph population variance points slope intercept lines reaction linear effect chance significance From Martin Corley on October 22nd, 2020 0 likes 175 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created October 22nd, 2020
20:20 Topic 43: Measuring Performance of an Estimator… Topic 43: Measuring Performance of an Estimator (PETARS, Chapter 6)	Topic 43: Measuring Performance of an Estimator (PETARS, Chapter 6) In this video, the question of measuring and quantifying the performance of an estimator is discussed. The video focusses on the concepts and definitions of bias and variance of the probability… pgee11164 estimator variance bias function times sample values expectation mu clock hat distribution probability sum n. pdf points parameter estimation summation From James Hopgood on October 22nd, 2020 0 likes 95 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 22nd, 2020
03:37 Samples and Sampling - slide 14 Sampling error Samples and Sampling - slide 14 Sampling error	Samples and Sampling - slide 14 Sampling error samples srodgers sample population variance sampling bias From Sheila Rodgers on October 5th, 2020 0 likes 48 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created October 5th, 2020
05:31 Unsupervised Learning Unsupervised Learning	Unsupervised Learning Unsupervised Learning hds dataset learning cluster clusters features pca component algorithm instance components variance direction reduction assignment point dimensions words dimensionality centers points From Dimitrios Doudesis on June 8th, 2020 0 likes 77 plays 0 Course Code GLHE11086 Licence Type Creative Commons - Attribution Share A Like
46:53 Why we still need to talk about diversity in… Why we still need to talk about diversity in Physics - Dr. Jess Wade	Why we still need to talk about diversity in Physics - Dr. Jess Wade Dr. Jess Wade is a physicist who, alongside being a postdoc researcher at Imperial College London in plastic electronics, campaigns tirelessly to increase diversity in physics. One of Nature's… observational astronomy lunch time voting theory facial recognition wikimedia uk sexual harassment long time gender bias single week empiricism science teachers sensory system engage young teaching huge impact huge amount primary school big thing subjective experience women in red diversity in stem effects gender balance skills specialist science big international equality cognition family law great book women scientists big impact b.b.c. neuropsychological assessment small amount school types big study social sciences half time theory of probability distributions mental health chemistry education wikipedia g.c.s.e. bigger variance gender gap minority backgrounds represented minority medical trials marriage majority–minority relations phenomenal people school equality won $3000000.00 careers in stem stem i.b.m. high school probability theory women in stem young girl 1516 year study physics u.k. big investigation community super super depressing school terminology decision theory small time p.b.s. big challenge absolutely massive peer review astronomical imaging diversity jess wade radio waves absolutely incredible academic career massachusetts institute of technology unconscious bias stem subjects equality and diversity cognitive science scientific community early career represented minority backgrounds represented minority groups award scheme women in science mit media young people women in physics education caption complete massive massive huge shortage mit i.q. women in chemistry bullying mental health support brilliant time representation persecution book inferior information systems science department huge huge nobel prize physics conscious bias From Ewan McAndrew on January 30th, 2019 2 likes 376 plays 0 Publisher Ewan McAndrew - Wikimedian in Residence Licence Type Creative Commons - Attribution Share A Like Language English Date Created January 30th, 2019

Search for tag: "variance"

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