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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
17:37 5.a 5.a	5.a First video of the Inf2d lecture on Adversarial Search. inf2d reasoning and agents artificial intelligence max game tree nodes moves values minimax actions utility action players problems algorithm min move agents a1 root strategy toe From Claudia-Elena Chirita on January 18th, 2021 0 likes 255 plays 0 Course Code INFR08010 Licence Type All rights reserved The University of Edinburgh Language English
10:36 5.b 5.b	5.b Second video of the Inf2D lecture on Adversarial Search. inf2d reasoning and agents artificial intelligence pruning alpha-beta node reply beta alpha max root leaf algorithm choice tree reasoning nodes decision values move game minimax From Claudia-Elena Chirita on January 18th, 2021 0 likes 194 plays 0 Course Code INFR08010 Licence Type All rights reserved The University of Edinburgh Language English
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
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
09:43 IDS - Week 11 - 01 - Keeping up with IDS IDS - Week 11 - 01 - Keeping up with IDS	IDS - Week 11 - 01 - Keeping up with IDS Keeping up with IDS - Week 11 data science rstats week units friday rmse projects slope root quiz end model peer material bit outcome error evaluation deadline expectation choice body From Mine Cetinkaya-Rundel on November 30th, 2020 0 likes 9 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
49:22 Discrete Painlevé equations - Nalini Joshi Discrete Painlevé equations - Nalini Joshi	Discrete Painlevé equations - Nalini Joshi Virtual Integrable Systems Seminars Discrete Painlevé equations Nalini Joshi (Sydney) 25 November 2020 An automated programme is used to generate the subtitles on this talk. You can remove… mathematics equations equation functions solutions difference polynomials space function numbers properties point question linear reflection sequence plane lattice fact translation root From GILLIAN KERR on November 25th, 2020 0 likes 72 plays 0 Licence Type All rights reserved Language english Date Created November 25th, 2020
01:06:49 The Terry Wall Lecture 2020: Professor Claire… The Terry Wall Lecture 2020: Professor Claire Voisin, Collège de France	The Terry Wall Lecture 2020: Professor Claire Voisin, Collège de France Subtitles have been automatically addeded to this lecture, to turn off please select "cc". Professor Claire Voisin, Collège de France - Quadratic Extensions: Algebra and Geometry … function geometry problem question root square field topology space picture equation fact point professor union lecture shield minus talk object situation environment equals From Liam Holligan on November 18th, 2020 0 likes 28 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created November 17th, 2020
07:25 CL - 7b - Quantifiers And Lambda CL - 7b - Quantifiers And Lambda	CL - 7b - Quantifiers And Lambda In this video we briefly mention more examples of sections, and then introduce λ-functions, which we use to help us interpretat statements such as, "Somebody loves Everybody". inf1a introduction to computation informatics 1 computation and logic quantifiers mary function lambda body property things language 2pi root variable bit x. words stuff mark maths lambdas backstroke expression identifier From Haoran Peng on October 30th, 2020 0 likes 473 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English
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
47:41 IMA, LMS Joint Meeting: Topological methods in… IMA, LMS Joint Meeting: Topological methods in Data Science (1-2 October 2020)	IMA, LMS Joint Meeting: Topological methods in Data Science (1-2 October 2020) An automated programme is used to generate the subtitles on this talk. You can remove the subtitles by pressing CC on the bottom toolbar. Kathryn Hess (EPFL) - Trees, barcodes, and symmetric groups … trees tree bar neurons barcodes barcode equivalence permutation lambda process neuron tmd types classes bars sort point algorithm points root From Liam Holligan on October 9th, 2020 0 likes 37 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created October 1st, 2020
01:03:28 The Saito determinant for Coxeter discriminant… The Saito determinant for Coxeter discriminant strata - Misha Feigin	The Saito determinant for Coxeter discriminant strata - Misha Feigin VISS online seminar series The Saito determinant for Coxeter discriminant strata Misha Feigin (Glasgow) 30 September 2020An automated programme is used to generate the subtitles on this talk. You… mathematics space manifold multiplication root field determinant arrangement vector metric alpha tangent structure stratum orbit groups roots hyperplanes linear function point From GILLIAN KERR on September 30th, 2020 0 likes 39 plays 0 Licence Type All rights reserved Language english Date Created September 30th, 2020
30:13 Medical Sciences 1: How Do Drugs Work? Part 2 Dr… Medical Sciences 1: How Do Drugs Work? Part 2 Dr Phil Larkman	Medical Sciences 1: How Do Drugs Work? Part 2 Dr Phil Larkman Pharmacokinetic Principles of Drug Action drug drugs body blood absorption metabolism routes cells processes route brain elimination circulation delivery factors vessels barrier gut root administration From Philip Larkman on September 25th, 2020 0 likes 163 plays 0 Licence Type Creative Commons - Attribution
09:57 USMR lecture 2 part 4 USMR lecture 2 part 4	USMR lecture 2 part 4 Estimating the mean height of the class; Standard Error usmr psychology ppls statistics rstats deviation sample population numbers error height class centimeters root standard distribution deviations statisticians observations curve heights minus sum responses estimate From Martin Corley on September 20th, 2020 0 likes 155 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created September 20th, 2020
10:04 USMR lecture 2 part 2 USMR lecture 2 part 2	USMR lecture 2 part 2 Histograms and density plots; the normal curve usmr psychology ppls statistics rstats curve density plot deviation axis observations things measurements distance observation curves graph histogram deviations root numbers cases proportion reason values From Martin Corley on September 20th, 2020 0 likes 151 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created September 20th, 2020

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