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24:48 MLP Guest Lecture 01 - Session 1 (Week 2) - MLP… MLP Guest Lecture 01 - Session 1 (Week 2) - MLP Cluster - Clip 04/04	MLP Guest Lecture 01 - Session 1 (Week 2) - MLP Cluster - Clip 04/04 Machine Learning Practical Semester 2 Guest Lecture 01 - Session 1 (Week 2) - Clip 04/04 (reenactment). machine learning deep learning job cluster jobs machine folder arguments path access commands demo things vpn gpu json experiments standard bit stuff process hours From Pavlos Andreadis on February 9th, 2021 1 likes 57 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
11:54 dapr1 - making decisions (c) dapr1 - making decisions (c)	dapr1 - making decisions (c) Part C uoepsy sample distribution hypothesis body values degrees curve temperature deviation celsius humans significance difference alpha proportion density error standard evidence temp From Umberto Noe on February 7th, 2021 0 likes 202 plays 0 Licence Type All rights reserved The University of Edinburgh
22:02 Ancient Lecture 5.3 Ancient Lecture 5.3	Ancient Lecture 5.3 things forms objects definition form numbers context justice understanding circle beauty mind plato mathematics soul box standard trust science thing From Damian Caluori on February 1st, 2021 0 likes 24 plays 0
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 120 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 28th, 2021
13:26 dapr1 - hypothesis testing: critical values (e) dapr1 - hypothesis testing: critical values (e)	dapr1 - hypothesis testing: critical values (e) Part E uoepsy distribution sample score error deviation standard hypothesis approach units values errors minus column quantiles root bar sigma exercises quanta denominator From Umberto Noe on January 24th, 2021 0 likes 219 plays 0 Licence Type All rights reserved The University of Edinburgh
14:03 dapr1 - hypothesis testing: critical values (b) dapr1 - hypothesis testing: critical values (b)	dapr1 - hypothesis testing: critical values (b) Part B uoepsy distribution sample bootstrap error standard effect hypothesis stroop deviation bar parameter column replacement root curve approach participants n. size pattern From Umberto Noe on January 24th, 2021 0 likes 288 plays 0 Licence Type All rights reserved The University of Edinburgh
12:54 FDS-S2-01-2-9 Estimating confidence intervals for… FDS-S2-01-2-9 Estimating confidence intervals for means of small samples	FDS-S2-01-2-9 Estimating confidence intervals for means of small samples We'll look at means from small samples, where the normal approximation of the sampling distribution of the mean breaks down. inf2-fds freedom degrees distribution alpha sample confidence error values curve standard statistic interval samples tails minus tail hat estimate grammes papers From David Sterratt on January 15th, 2021 0 likes 117 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 15th, 2021
12:22 FDS-S2-01-2-6 Estimating the confidence interval… FDS-S2-01-2-6 Estimating the confidence interval of means of large samples	FDS-S2-01-2-6 Estimating the confidence interval of means of large samples We'll derive confidence intervals for the mean of large samples, when we can assume the sampling distribution of the mean is normal. inf2-fds distribution confidence sample interval error standard method population intervals minus reservation estimator alpha times assumptions papers equals m. root n. From David Sterratt on January 15th, 2021 0 likes 138 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 15th, 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 137 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 15th, 2021
06:57 FDS-S2-01-2-4 Principle of confidence intervals FDS-S2-01-2-4 Principle of confidence intervals	FDS-S2-01-2-4 Principle of confidence intervals Here we introduce the principle of confidence intervals graphically. inf2-fds interval error standard point minus confidence distribution thing sample probability intervals errors mass deviations procedure trimming moon tail estimate trade From David Sterratt on January 14th, 2021 0 likes 156 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 14th, 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
00:37 Distillation Lecture 2 2020 part 1 Distillation Lecture 2 2020 part 1	Distillation Lecture 2 2020 part 1 Distillation Lecture 2 2020 part 1 column question distillation composition feeds feet multiple situations columns standard lecture From John Christy on December 30th, 2020 0 likes 26 plays 0 Course Code CHEE11023 Publisher John Christy Licence Type All rights reserved The University of Edinburgh Language British English Date Created December 30th, 2020
58:07 What is 'Beyond a Reasonable Doubt'? What is 'Beyond a Reasonable Doubt'?	What is 'Beyond a Reasonable Doubt'? Lecture 2: What is 'Beyond a Reasonable Doubt'? doubt standard evidence defendant probability kind threshold belief interpretation proof cost proposition elements problem conviction murder decisions guilt jurors charge From Martin Smith on December 17th, 2020 0 likes 35 plays 0 Licence Type All rights reserved The University of Edinburgh
59:21 A Fair Trial/The Presumption of Innocence A Fair Trial/The Presumption of Innocence	A Fair Trial/The Presumption of Innocence Lecture 1: A Fair Trial/The Presumption of Innocence innocence presumption trial interpretation defendant kind evidence idea law jurors guilt belief person jurisdictions question proof prosecution interpretations standard thing From Martin Smith on December 17th, 2020 0 likes 41 plays 0 Licence Type All rights reserved The University of Edinburgh
28:37 REF2020: Thomas Cridge- Transverse Momentum… REF2020: Thomas Cridge- Transverse Momentum Resummed Calculations in reSolve and Z’ searches	REF2020: Thomas Cridge- Transverse Momentum Resummed Calculations in reSolve and Z’ searches REF2020: Thomas Cridge- Transverse Momentum Resummed Calculations in reSolve and Z’ searches higgs centre ref2020 effects mass model region asymmetry width models searches events primes sensitivity variables spectrum standard corrections uncertainties ssm cross interferences things From Lyndsey Ballantyne on December 11th, 2020 0 likes 2 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created December 9th, 2020
19:52 USMR lecture 8 part 2 USMR lecture 8 part 2	USMR lecture 8 part 2 categorical predictors usmr psychology ppls statistics rstats play model mode lego intercept error function toys values utility column linear zing factor difference things contrast predictor standard m0 From Martin Corley on November 8th, 2020 0 likes 142 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 14th, 2020

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