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XAI Lecture Recording: PPD/ICE (Part 3)

This lecture will cover theoretical aspects of PDP and ICE, explaining how both methods operate.

From  Auste Simkute on July 14th, 2021 0 likes 3 plays 0  

XAI Lecture Recording: InTrees (Part 2)

This lecture will cover InTrees, which is a model-specific XAI method for tree ensembles.

From  Auste Simkute on July 14th, 2021 0 likes 1 plays 0  

FNLP 3b

Text Corpora: basic principles of experimental design

From  Alexandra Lascarides on June 10th, 2021 0 likes 3 plays 0  

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…

From  Anna Munro on May 31st, 2021 0 likes 18 plays 0  

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:…

From  Anna Munro on May 25th, 2021 0 likes 12 plays 0  

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…

From  Tracy Steinberg on May 25th, 2021 0 likes 23 plays 0  

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:…

From  Anna Munro on May 24th, 2021 0 likes 9 plays 0  

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…

From  Anna Munro on May 19th, 2021 0 likes 30 plays 0  

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…

From  Anna Munro on May 18th, 2021 0 likes 8 plays 0  

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…

From  Anna Munro on May 13th, 2021 0 likes 15 plays 0  

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…

From  Ekaterina Churkina on April 23rd, 2021 0 likes 8 plays 0  

Altmetrics

A tutorial for Engaging With Digital research on how to build your own Altmetric

From  Benjamin Collier on April 16th, 2021 0 likes 18 plays 0  

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…

From  Roisin O'Brien on January 20th, 2021 0 likes 12 plays 0  

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…

From  David Sterratt on January 20th, 2021 0 likes 160 plays 0  

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.

From  David Sterratt on January 20th, 2021 0 likes 180 plays 0  

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…

From  David Sterratt on January 18th, 2021 0 likes 157 plays 0