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17:37 DAPR2 (20-21): 10.2 DAPR2 (20-21): 10.2	DAPR2 (20-21): 10.2 model models difference predictors m1 test side hand variables values variance freedom degrees age personality modal delta squares ratio sums From Josiah King on October 27th, 2020 0 likes 0 plays 0 Licence Type All rights reserved The University of Edinburgh
01:30:49 PhD Workshop - What do I want from my career?… PhD Workshop - What do I want from my career? Getting started	PhD Workshop - What do I want from my career? Getting started Recording of PhD workshop from 7th October 2020. careers service things phd career bit skills values thing strengths lot ideas decisions resources moment experiences interests sense experience factors students future From Thomas Robinson on October 27th, 2020 0 likes 2 plays 0 Licence Type All rights reserved The University of Edinburgh
17:06 dapR2 (20-21): 10.4 dapR2 (20-21): 10.4	dapR2 (20-21): 10.4 model models variables predictors selection variable idea predictor problem subsets context respect criteria values methods procedures scenario comparisons cetera tools From Thomas Booth on October 26th, 2020 0 likes 0 plays 0
16:37 dapR2 (20-21): 10.3 dapR2 (20-21): 10.3	dapR2 (20-21): 10.3 model bic aic models values term correction participants sums parsimony difference context bit squares cases log improvement linear predictors variables From Thomas Booth on October 26th, 2020 0 likes 1 plays 0
01:03:40 MLP Q&A 1 - Session 2 (Week 5) MLP Q&A 1 - Session 2 (Week 5)	MLP Q&A 1 - Session 2 (Week 5) Machine Learning Practical Q&A 1 - Session 2 (Week 5). machine learning deep learning gradients weights function entropy values input output activation lecture questions softmax From Pavlos Andreadis on October 26th, 2020 1 likes 10 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
04:22 CL - 6d - Karnaugh Maps III CL - 6d - Karnaugh Maps III	CL - 6d - Karnaugh Maps III More on blocks of ones (which correspond to conjunctions of literals). inf1a introduction to computation informatics 1 computation and logic karnaugh map things block thing half torus corner rectangle cylinder picture properties power amber values examples round rows columns means room sides From Haoran Peng on October 24th, 2020 0 likes 110 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English
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 23 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 22nd, 2020
26:56 CL - Q&A - Thursday Week 4 CL - Q&A - Thursday Week 4	CL - Q&A - Thursday Week 4 In week 4 we introduced Gentzen's sequents.You should make sure you understand when a sequent is valid, and what it means to provide a counter-example to a sequent -- a universe in which the… inf1a introduction to computation informatics 1 computation and logic gentzen's rules sequent calculus b. gamma rule thing delta function questions tutorial end things intersection sides predicates haskell functions bool values question week sense From Haoran Peng on October 20th, 2020 0 likes 320 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English
17:06 RMS2 (20-21): 5.4 RMS2 (20-21): 5.4	RMS2 (20-21): 5.4 model models variables predictors selection variable idea predictor problem subsets context respect criteria values methods procedures scenario comparisons cetera tools From Thomas Booth on October 18th, 2020 0 likes 137 plays 0
16:37 RMS2 (20-21): 5.3 RMS2 (20-21): 5.3	RMS2 (20-21): 5.3 model bic aic models values term correction participants sums parsimony difference context bit squares cases log improvement linear predictors variables From Thomas Booth on October 18th, 2020 0 likes 176 plays 0
02:39 MLP Lecture 05 - Clip 07 - Adam MLP Lecture 05 - Clip 07 - Adam	MLP Lecture 05 - Clip 07 - Adam Machine Learning Practical (MLP) Lecture 05, Clip 07 / 07. machine learning deep learning momentum rms prop alpha gradient hyperparameters magnitudes minus adam hinton geoffrey networks techniques art gradients importance values hyperparameter change si From Pavlos Andreadis on October 18th, 2020 2 likes 109 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
17:37 RMS2 (20-21): 5.2 RMS2 (20-21): 5.2	RMS2 (20-21): 5.2 model models difference predictors m1 test side hand variables values variance freedom degrees age personality modal delta squares ratio sums From Thomas Booth on October 17th, 2020 0 likes 158 plays 0
06:03 CL - Lecture 4.k - Logic and Algebra CL - Lecture 4.k - Logic and Algebra	CL - Lecture 4.k - Logic and Algebra Last CL video for week 4. inf1a introduction to computation informatics 1 computation and logic logic things predicates properties operations values algebra individuals b. property collection picture variables individual labels combination difference principle functions stuff union From Claudia-Elena Chirita on October 15th, 2020 0 likes 281 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English
45:15 Research and teaching in statistical and data… Research and teaching in statistical and data sciences seminars: Daniela Castro-Camilo	Research and teaching in statistical and data sciences seminars: Daniela Castro-Camilo Daniela Castro Camilo (University of Glasgow)Title: Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperaturesAbstract: We develop a method for… statistics research data science model dependence distribution anomalies structure space approach values threshold models bit points gaps independence scale neighborhood location stationarity parameters temperature From OLLIE Quinn on October 14th, 2020 0 likes 7 plays 0 Licence Type All rights reserved Language English Date Created October 9th, 2020
43:18 South East Mathematical Physics Seminars: Juan… South East Mathematical Physics Seminars: Juan Miguel Nieto García (Lecture 2)	South East Mathematical Physics Seminars: Juan Miguel Nieto García (Lecture 2) An automated programme is used to generate the subtitles on this talk. You can remove the subtitles by pressing CC on the bottom toolbar. Juan Miguel Nieto García Scalar Products in the… icms southeast mathematicalphysics lambda matrix operators operator function values property relations equations end bit properties lambdas form partition domain equation functions determinant norm From Liam Holligan on October 13th, 2020 0 likes 22 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created October 13th, 2020
41:29 South East Mathematical Physics Seminars:… South East Mathematical Physics Seminars: Theodoros Kouloukas (Lecture 2)	South East Mathematical Physics Seminars: Theodoros Kouloukas (Lecture 2) An automated programme is used to generate the subtitles on this talk. You can remove the subtitles by pressing CC on the bottom toolbar. Theodoros Kouloukas Poisson structures and discrete… icms southeast mathematicalphysics equation poisson matrix equations bracket form variables factorization values respect integrals matrices structure person maps function leaves transfer legs problem From Liam Holligan on October 13th, 2020 0 likes 21 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created October 13th, 2020

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