Search for tag: "average"

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…

From  Belle Taylor on June 29th, 2021 0 likes 45 plays 0  

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…

From  Belle Taylor on June 29th, 2021 0 likes 49 plays 0  

UK-APASI in Mathematical Sciences: Fred Vermolen

Subtitles will be added soon. May 2021 Fred Vermolen, Introductory statistics and the central limit theorem

From  Liam Holligan on May 26th, 2021 0 likes 5 plays 0  

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…

From  Anna Munro on May 18th, 2021 0 likes 35 plays 0  

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

From  Lyndsey Ballantyne on December 15th, 2020 0 likes 3 plays 0  

IDS - Week 11 - Code along

Wrangling and visualising data on the course videos

From  Mine Cetinkaya-Rundel on December 3rd, 2020 0 likes 8 plays 0  

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…

From  James Hopgood on November 14th, 2020 0 likes 91 plays 0  

MLP Lecture 05 - Clip 06 - RMSProp

Machine Learning Practical (MLP) Lecture 05, Clip 06 / 07.

From  Pavlos Andreadis on October 18th, 2020 1 likes 139 plays 0  

MLP Lecture 05 - Clip 04 - Momentum

Machine Learning Practical (MLP) Lecture 05, Clip 04 / 07.

From  Pavlos Andreadis on October 18th, 2020 1 likes 165 plays 0  

Getting variables from the SRM data

How to get key variables from the data collected by the SRM ergometer

From  Brandon Kelly on October 6th, 2020 0 likes 5 plays 0  

4a - Defects and Yields

Lecture 4a - Defects and Yields by Prof Ian Underwood

From  Lesley Gibson on September 3rd, 2020 0 likes 101 plays 0  

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.

From  Jenni Doonan on July 14th, 2020 0 likes 8 plays 0  

AccSoc1 LV7.1 - Poverty in Scotland

Access Programme - Access Social Sciences 1 - 7.1 Poverty in Scotland

From  Brian McGrail on September 18th, 2018 0 likes 177 plays 0  

Eigenface representation

Eigenface representation

From  Nigel Goddard on September 25th, 2016 1 likes 1,732 plays 0