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15:37 Machine Learning for extremes: Chen Zhou Machine Learning for extremes: Chen Zhou	Machine Learning for extremes: Chen Zhou This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Chen Zhou Talk Title: Distributed Inference for Tail Empirical and Quantile… eva process tail oracle estimator function machine weight root result machines sample errors proof property infinity estimators statistics average convergence distribution From Belle Taylor on June 29th, 2021 0 likes 49 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 29th, 2021
17:32 Climate Extremes: Jordan Richards Climate Extremes: Jordan Richards	Climate Extremes: Jordan Richards This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Jordan Richards Talk Title: Modelling the extremes of spatial aggregates of precipitation… eva process model condition functions dependence function margins side approach bit distance variable regions estimates delta paper inference domain average locations From Belle Taylor on June 29th, 2021 0 likes 56 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 29th, 2021
55:57 UK-APASI in Mathematical Sciences: Fred Vermolen UK-APASI in Mathematical Sciences: Fred Vermolen	UK-APASI in Mathematical Sciences: Fred Vermolen Subtitles will be added soon. May 2021 Fred Vermolen, Introductory statistics and the central limit theorem population sample statistics men height probability englishman length cetera average variance entries question thing times parameters sampling median properties minus From Liam Holligan on May 26th, 2021 0 likes 5 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created May 26th, 2021
03:51 Chen Zhou EVA Talk Preview Chen Zhou EVA Talk Preview	Chen Zhou EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Chen Zhou Talk Title: Distributed Inference for Tail Empirical and Quantile Processes Abstract: The… solution theory eva icms zhou distributed inference tail empirical quantile processes oracle estimator property process sample talk statistics machine maxima machines estimators goal divide infinity average result algorithm procedure From Anna Munro on May 18th, 2021 0 likes 35 plays 0 Licence Type All rights reserved Language English
18:33 REF2020: Pedro Augusto Agostini- Particle… REF2020: Pedro Augusto Agostini- Particle production beyond eikonal accuracy in dilute-dense CGC framework	REF2020: Pedro Augusto Agostini- Particle production beyond eikonal accuracy in dilute-dense CGC framework REF2020: Pedro Augusto Agostini- Particle production beyond eikonal accuracy in dilute-dense CGC framework higgs centre re2020 proton target result production icon field functions model nucleus corrections parameter operator equation kind calculation question size energies function average From Lyndsey Ballantyne on December 15th, 2020 0 likes 3 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created December 9th, 2020
25:02 IDS - Week 11 - Code along IDS - Week 11 - Code along	IDS - Week 11 - Code along Wrangling and visualising data on the course videos data science rstats week things videos words plot names length thing function package variable title column average lengths bit text word total dataframe From Mine Cetinkaya-Rundel on December 3rd, 2020 0 likes 10 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
26:59 Topic 65: Time Averages and Ergodicity (PETARS,… Topic 65: Time Averages and Ergodicity (PETARS, Chapter 8)	Topic 65: Time Averages and Ergodicity (PETARS, Chapter 8) This Topic introduces the notion of estimating statistical averages from a single realisation of a stochastic process. This concept is most easily developed for estimating first and second moments… pgee11164 average process ensemble variance ergodicity realisation infinity sense minus covariance function realisations chapter processes term samples sequence estimator sample estimation From James Hopgood on November 14th, 2020 0 likes 97 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created November 12th, 2020
03:47 MLP Lecture 05 - Clip 06 - RMSProp MLP Lecture 05 - Clip 06 - RMSProp	MLP Lecture 05 - Clip 06 - RMSProp Machine Learning Practical (MLP) Lecture 05, Clip 06 / 07. machine learning deep learning gradient learning beta average sum descent batch gradients networks ziggurats beginning times hyperparameters prop rms magnitude weight idea rate graph From Pavlos Andreadis on October 18th, 2020 1 likes 139 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
03:17 MLP Lecture 05 - Clip 04 - Momentum MLP Lecture 05 - Clip 04 - Momentum	MLP Lecture 05 - Clip 04 - Momentum Machine Learning Practical (MLP) Lecture 05, Clip 04 / 07. machine learning deep learning gradients momentum history average idea optimization direction iteration update wi descent gradient velocity loss stability bit space weight eye sense From Pavlos Andreadis on October 18th, 2020 1 likes 166 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
03:09 Getting variables from the SRM data Getting variables from the SRM data	Getting variables from the SRM data How to get key variables from the data collected by the SRM ergometer srm selection rate heart power window peak bottom tag pieces minute beats figures corner hand interest point cursor points average test From Brandon Kelly on October 6th, 2020 0 likes 6 plays 0 Licence Type Creative Commons - Attribution Non Commercial No Derivatives
19:27 4a - Defects and Yields 4a - Defects and Yields	4a - Defects and Yields Lecture 4a - Defects and Yields by Prof Ian Underwood engineering design and manufacture defects defect chip probability distribution areas yield unit units process manufacturing dpu dust mosque chips test times rectangle average room From Lesley Gibson on September 3rd, 2020 0 likes 101 plays 0 Licence Type Creative Commons - Attribution
07:39 Data Explorers - Asking Questions about Corona… Data Explorers - Asking Questions about Corona Virus Data	Data Explorers - Asking Questions about Corona Virus Data Data Education for School's Kate Farrell considers how we can support young people to understand corona virus data. data data analysis coronavirus graph learners graphs times students cases york 20th average lot learner approach patterns visualizations topic ground bars stories weekend From Jenni Doonan on July 14th, 2020 0 likes 8 plays 0 Publisher Data Education for Schools Licence Type Creative Commons - Attribution Language English Date Created July 14th, 2020
03:56 Evaluation Metrics Evaluation Metrics	Evaluation Metrics Evaluation Metrics - Week 1 predictive analytics micromasters illustrates point estimation performance metric numbers measurement absolute error caption complete statistics average percentage inappropriate positive percentage error scientific method higher picture comparable data analysis overexaggeration observed values outlier statistical terminology reflect generated effects spikes observation data set sensitive accentuation squared error predicted error model statistical deviation and dispersion From Calum Macphail on March 19th, 2019 1 likes 159 plays 0 Course Code PA1.2x Evaluation of Predictive Modelling Licence Type Creative Commons - Attribution Share A Like Language English
48:34 AccSoc1 LV7.1 - Poverty in Scotland AccSoc1 LV7.1 - Poverty in Scotland	AccSoc1 LV7.1 - Poverty in Scotland Access Programme - Access Social Sciences 1 - 7.1 Poverty in Scotland access social sciences 1 poverty income inequality level benefits society survey significance household hypothesis government standard words housing middle week average measures issues sample From Brian McGrail on September 18th, 2018 0 likes 177 plays 0 Licence Type Creative Commons - Attribution Non Commercial No Derivatives
08:52 Single-link, complete-link, Ward's method Single-link, complete-link, Ward's method	Single-link, complete-link, Ward's method Single-link, complete-link, Ward's method diameter chain point color yellow cluster individual connect measure caption complete clustering circles single linkage merge length smallest connecting distance metric deviation iaml internet protocols complete closest means merge red hierarchical clustering optical spectrum effects libertarian theory merging blue individualism distance algorithm average pretend iteration euclidean political philosophy euclidean geometry points clusters pairs pair deviations chains linkage centroid radius c2 c1 metric result From Nigel Goddard on September 25th, 2016 1 likes 2,227 plays 0 Licence Type Creative Commons - Attribution
03:56 Eigenface representation Eigenface representation	Eigenface representation Eigenface representation iaml pca face faces representation eigenfaces pixels bit eigenvector vector amount guy projection components average numbers coordinate result human phase attributes eigenvectors From Nigel Goddard on September 25th, 2016 1 likes 1,734 plays 0 Licence Type Creative Commons - Attribution

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