Search for tag: "prediction"

AI & Storytelling, Invited Lecture for Abertay University - Part 3: Machine Learning

AI & Storytelling, Invited Lecture for Abertay University, January 29th 2024 - Part 3: Machine Learning

From  Pavlos Andreadis 1 likes 12 plays 0  

3 Detection _ alarm (Part II) - FireGrid.mp4

From  Stephen Welch 0 likes 36 plays 0  

Interview with Peter Dayan

As part of the 60 years of computer science and AI celebration, distinguished researchers from both disciplines have been invited to visit the School of Informatics. We have asked them to tell us…

From  Informatics at Edinburgh 0 likes 44 plays 0  

AI & Pastoral Care for Christian Churches - 'AI and Christianity'

As part of the AI & Pastoral Care for Christian Churches conference, Professor George Coghill (Professor Emeritus, University of Aberdeen) delivers a talk titled 'AI and Christianity' …

From  Rory Dunlop 0 likes 11 plays 0  

AML: Evaluation - Regression

Applied Machine Learning - INFR11211 AML: Evaluation - Regression Part 2/2

From  Siddharth N 0 likes 398 plays 0  

AML: Generalisation - Measuring Generalisation

Applied Machine Learning - INFR11211 AML: Generalisation - Measuring Generalisation Part 2/3

From  Siddharth N 3 likes 471 plays 0  

BHoM 2022 - Ejay Nsugbe

Wednesday 05 October 2022 Black Heroes of Mathematics Conference 2022 Ejay Nsugbe, Nsugbe Research Labs - On Prediction Machines & Clinical Medicine: Case Studies from a Black Cyberneticist and…

From  Greg McCracken 1 likes 27 plays 0  

Selection on a single trait in AlphaSimR - Part 2

In this vignette, we will learn about simulating selection to improve a single trait and explore some of the intricacies of the breeder’s equation. (Part 2)

From  Geoff Fortescue 0 likes 29 plays 0  

Doubly-latent Models in Spatial Epidemiology

Doubly-latent Models in Spatial Epidemiology By Glenna Nightingale, Megan Laxton and Jacqueline Aim. Copyright © University of Edinburgh 2020 CC BY-NC-SA This work is licensed under a Creative…

From  Jacqueline Aim 0 likes 33 plays 0  

A Theoretically Tractable Framework for K Fold Cross Vaidation - Sabyasachi Chatterjee

Structural Breaks and Shape Constraints A Theoretically Tractable Framework for K Fold Cross Vaidation Sabyasachi Chatterjee (University of Illinois at Urbana-Champaign) 19 May 2022

From  Iain Cms 0 likes 28 plays 0  

25 Feb 2022 Mark Keane, (University College Dublin) Explaining artificial intelligence: contrastive explanations for AI black boxes and what people think of them.

25 Feb 2022Mark Keane, University College DublinExplaining artificial intelligence: contrastive explanations for AI black boxes and what people think of them.Abstract: In recent years, there has been…

From  Greg McCracken 0 likes 24 plays 0  

Oliver Stoner (University of Glasgow) - Statistical methods for nowcasting daily hospital deaths from COVID-19

Subtitles will be available soon. 11 Feb 2022Oliver Stoner, University of GlasgowStatistical methods for nowcasting daily hospital deaths from COVID-19 Delayed reporting is a significant problem…

From  Greg McCracken 0 likes 27 plays 0  

Alberto Carrassi

Mathematics of the Climate Crisis: Extremes and Tipping Points Alberto Carrassi, University of Reading/NCEOFriday 5 November This recording is subtitled. You can turn off the subtitles by pressing…

From  Sarah Black 0 likes 14 plays 0  

Mengwei Sun Presentation - SSPD 2021

Presented at the Sensor Signal Processing for Defence Conference (SSPD) 2021Presentation: "Adaptive Kernel Kalman Filter" Speaker: Mengwei Sun, University of Edinburgh. Collaborators: Mike…

From  Joe Burchell 0 likes 51 plays 0  

XAI Lecture Recording: PDP/ICE (Part 2)

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

From  Auste Simkute 0 likes 32 plays 0  

XAI Lecture Recording: PDP/ICE (Part 1)

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

From  Auste Simkute 0 likes 27 plays 0