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08:54 XAI Lecture Recording: PPD/ICE (Part 3) XAI Lecture Recording: PPD/ICE (Part 3)	XAI Lecture Recording: PPD/ICE (Part 3) This lecture will cover theoretical aspects of PDP and ICE, explaining how both methods operate. plots feature instance pd ice features pdp values instances lecture dataset plot model predictions issue advantages disadvantages xai xai course machine learning From Auste Simkute on July 14th, 2021 0 likes 3 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created July 14th, 2021
07:35 XAI Lecture Recording: InTrees (Part 2) XAI Lecture Recording: InTrees (Part 2)	XAI Lecture Recording: InTrees (Part 2) This lecture will cover InTrees, which is a model-specific XAI method for tree ensembles. rules entries rule confidence ratio representation absence table dataset questions workbook xai xai course machine learning From Auste Simkute on July 14th, 2021 0 likes 1 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created July 14th, 2021
29:20 FNLP 3b FNLP 3b	FNLP 3b Text Corpora: basic principles of experimental design text corpora experimental design words sentiment movie dataset word star lexicon frequency analysis task evaluation algorithm distribution stars language sentence labels output input fact From Alexandra Lascarides on June 10th, 2021 0 likes 3 plays 0 Licence Type All rights reserved The University of Edinburgh Language English
03:27 Ngoc Tran EVA Talk Preview Ngoc Tran EVA Talk Preview	Ngoc Tran EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Ngoc Tran Talk Title: Causal inference for extremes on river networks Abstract: Causal inference for extreme… icms eva model theory solution data methods inference casual extremes river networks problem edges edge observations algorithm machine percent q3 tree talk loop dataset benchmark flows question heart variable causation From Anna Munro on May 31st, 2021 0 likes 18 plays 0 Licence Type All rights reserved Language English
02:41 Frank Rottger EVA Talk Preview Frank Rottger EVA Talk Preview	Frank Rottger EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Frank Rottger Talk Title: Total positivity in graphical extremes Abstract:… eva icms theory solution multivariate total positivity graphical extremes model matrix condition graph entries covariance inverse inequality attention sparsity passport amqp gramme pseudo beds dataset fat body diagram From Anna Munro on May 25th, 2021 0 likes 12 plays 0 Licence Type All rights reserved Language English
41:16 Teaching Data/AI Ethics In Various Disciplinary… Teaching Data/AI Ethics In Various Disciplinary Contexts - Digital Skills Festival	Teaching Data/AI Ethics In Various Disciplinary Contexts - Digital Skills Festival From the Digital Skills Festival: 24th May 2021. In this 30-minute presentation, Shannon Vallor, Baillie Gifford Chair in the Ethics of Data and Artificial Intelligence at the Edinburgh Futures… digital skills festival data skills data ethics ai ethics teaching ethics ethics ai science students questions engineering issues futures ways care knowledge practises power fields machine skills things values systems dataset From Tracy Steinberg on May 25th, 2021 0 likes 23 plays 0 Publisher Shannon Vallor Tracy Steinberg Licence Type All rights reserved The University of Edinburgh Language English English Date Created May 25th, 2021
02:53 Christian Rohrbeck EVA Talk Preview Christian Rohrbeck EVA Talk Preview	Christian Rohrbeck EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Christian Rohrbeck Talk Title: Simulating flood event sets using extremal principal components Abstract:… eva icms theory solution model simulating flood events extremal components tools hazards talk eigenvector event analysis component scale structure gauges dataset method ideas approach study cloth pass coast bc side From Anna Munro on May 24th, 2021 0 likes 9 plays 0 Licence Type All rights reserved Language English
03:03 Martin Bladt EVA Talk Preview Martin Bladt EVA Talk Preview	Martin Bladt EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Martin Bladt Talk Title: Phase-type distributions for Insurance pricing Abstract: We address the task of… solution theory eva icms model modelling distributions influences fractional life distribution insurance dataset psi tail face generalisation guesses hazards liability party motors theta matrix pareto transformations pricing analysis children From Anna Munro on May 19th, 2021 0 likes 30 plays 0 Licence Type All rights reserved Language English
02:50 Juraj Bodik EVA Talk Preview Juraj Bodik EVA Talk Preview	Juraj Bodik EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Juraj Bodik Talk Title: Detection of causality in time series using extreme values Abstract: We deal with the… solution theory eva icms bodik detection causality times series extreme values coefficient effect eye talk june dataset application datasets simulations threshold disaster estimation fact skew choice question From Anna Munro on May 18th, 2021 0 likes 8 plays 0 Licence Type All rights reserved Language English
02:57 Arnab Hazra EVA Talk Preview Arnab Hazra EVA Talk Preview	Arnab Hazra EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Arnab Hazra Talk Title: A sparse Gaussian scale mixture process for modeling short-range extremal dependence… icms eva solution theory hazra sparse scale mixture processes modeling extremal range model s1 tail result shocks rainfall figure dependence term process properties conference presentation analysis simulation computation dataset distances construction From Anna Munro on May 13th, 2021 0 likes 15 plays 0 Licence Type All rights reserved Language English
42:53 Artificial Intelligence for Data Analytics Artificial Intelligence for Data Analytics	Artificial Intelligence for Data Analytics Speaker: Chris Williams, School of Informatics Abstract: The practical work of deploying a machine learning system is dominated by issues outside of training a model: data preparation, data… artificial intelligence column things lot model problem patients variables problems cell inference types detection dataset learning csv row assistance distribution transformations analysis From Ekaterina Churkina on April 23rd, 2021 0 likes 8 plays 0 Licence Type All rights reserved Date Created April 21st, 2021
21:02 Altmetrics Altmetrics	Altmetrics A tutorial for Engaging With Digital research on how to build your own Altmetric articles article metric twitter things tweets tutorial ways equation retweets lot api media dataset sort searches times followers experiment kinds From Benjamin Collier on April 16th, 2021 0 likes 18 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created May 3rd, 2021
01:10:00 Skills in Heritage Data Science: Meet the Dogs of… Skills in Heritage Data Science: Meet the Dogs of 19th Century Denmark	Skills in Heritage Data Science: Meet the Dogs of 19th Century Denmark Henriette Roued-Cunliffe (University of Copenhagen) discusses how to create a smooth learning curve for data-led research in the humanities.In the humanities and the heritage sector, Henriette has… university of edinburgh cahss cdcs dog dogs questions dataset humanities question things heritage students names access sets lot skills material tutorial fun bit researchers newspapers From Roisin O'Brien on January 20th, 2021 0 likes 12 plays 0 Licence Type Creative Commons - Attribution
18:31 FDS-S2-02-2-5 Maximum likelihood estimation of… FDS-S2-02-2-5 Maximum likelihood estimation of logistic regression coefficients	FDS-S2-02-2-5 Maximum likelihood estimation of logistic regression coefficients We introduce the principle of maximum likelihood, and show how to derive the likelihood as a function of the coefficients for logistic regression. We also mention one topical application of logistic… inf2-fds beta log likelihood probability regression term failure function i. success sum naught principle coefficients point respect x. dataset equals thing From David Sterratt on January 20th, 2021 0 likes 160 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 20th, 2021
10:14 FDS-S2-02-2-3 Multiple logistic regression and… FDS-S2-02-2-3 Multiple logistic regression and confidence and intervals	FDS-S2-02-2-3 Multiple logistic regression and confidence and intervals We extend logistic regression to multiple independent variables, and show how we can use the boostrap to estimate confidence intervals for coefficients, and to test hypotheses. inf2-fds odds beta regression hypothesis bootstrap intervals age confidence ratio hat method log credit coefficients coefficient variables fact statistic 95th dataset From David Sterratt on January 20th, 2021 0 likes 180 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 20th, 2021
10:55 FDS-S2-02-4 Issues in hypothesis testing FDS-S2-02-4 Issues in hypothesis testing	FDS-S2-02-4 Issues in hypothesis testing We consider 3 issues in hypothesis testing: Type I and Type II errors; cherry-picking, p-value hacking etc., and a short discussion about the possibility that hypothesis-driven research can hinder… inf2-fds hypothesis error region rejection testing gorilla test errors dataset students experiments values hypotheses steps mass body 1a size probability topic From David Sterratt on January 18th, 2021 0 likes 157 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 18th, 2021 Retain Source File Yes

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