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06:54 XAI Lecture Recording: PPD/ICE (Part 1) XAI Lecture Recording: PPD/ICE (Part 1)	XAI Lecture Recording: PPD/ICE (Part 1) This lecture will cover theoretical aspects of PDP and ICE, explaining how both methods operate. feature plots pdp instance values ice decision boundary plot model instances classification output visualisation relationship prediction 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
12:37 XAI Lecture Recording - Anchors (Part 2) XAI Lecture Recording - Anchors (Part 2)	XAI Lecture Recording - Anchors (Part 2) This lecture will cover the Anchors approach for XAI. xai xai course explainable machine learning anchors rules precision coverage anchor rule instance model question instances lecture questions classification neighbourhood feature process From Auste Simkute on July 7th, 2021 0 likes 1 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created July 7th, 2021
09:55 XAI Lecture Recording - SHAP (Part 3) XAI Lecture Recording - SHAP (Part 3)	XAI Lecture Recording - SHAP (Part 3) This lecture will provide an overview of one of the most popular XAI techniques - SHAP. xai explainable machine learning machine learning shap values model feature tree features questions app student instance question plots shapley interpretations explanations classification prediction forest mathematics independence From Auste Simkute on June 30th, 2021 0 likes 1 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created June 30th, 2021
21:15 Public Health, Epidemiology, Life Sciences and… Public Health, Epidemiology, Life Sciences and Life Lengths: Felix Cheysson	Public Health, Epidemiology, Life Sciences and Life Lengths: Felix Cheysson This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Felix Cheysson Talk Title: Evolution of groups at high risk of death from Covid-19 using… eva tree distribution function trees week test end bootstrap distance difference space sample classification mortality statistic f1 hospital hypothesis sampling question From Belle Taylor on June 29th, 2021 0 likes 27 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 29th, 2021
03:10 Felix Cheysson EVA Talk Preview Felix Cheysson EVA Talk Preview	Felix Cheysson EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Felix Cheysson Talk Title: Evolution of groups at high risk of death from Covid-19 using hospital data… icms eva solution theory evolution groups high risk data trees tree classification wave hospital mortality perturbation learning death disease age patients percent pandemic estimation talk goodbye sensitivity From Anna Munro on May 24th, 2021 0 likes 11 plays 0 Licence Type All rights reserved Language English
49:17 BMC BAMC 2021 Xin Li BMC BAMC 2021 Xin Li	BMC BAMC 2021 Xin Li 6-9 April 2021, BMC BAMC 2021 This talk was a BMC morning talk by Xin Li (University of Glasgow) Titled: Interactions Between C-Algebras, Topological Dynamics and Group Theory This recording is… bmc bamc 2021 xin li icms mathematics maths math algebra c-algebras topological dynamics group theory space classification systems algebras topology points groups class point examples instance construction result sense functions dynamics equivalence sequences operators From Sophia Martin on April 22nd, 2021 0 likes 23 plays 0 Licence Type All rights reserved Language English Date Created April 9th, 2021
51:15 Perturbative symmetry approach for… Perturbative symmetry approach for differential-difference equations - Jing Ping Wang	Perturbative symmetry approach for differential-difference equations - Jing Ping Wang VISS online seminar series Jing Ping Wang, University of Kent Perturbative symmetry approach for differential-difference equations 24 March 2021 To remove the captions from this video press CC on… mathematics equation symmetry difference expression classification condition operator shift differential function polynomial theorem symbol linear derivation cell race term times elements From GILLIAN KERR on March 24th, 2021 0 likes 14 plays 0 Licence Type All rights reserved Language english Date Created March 24th, 2021
12:37 Hyperbolic PDE Analytical methods Part 5: Formal… Hyperbolic PDE Analytical methods Part 5: Formal classification of PDEs	Hyperbolic PDE Analytical methods Part 5: Formal classification of PDEs Derive and discuss the formal classification for second order partial differential equations pde3 engineering mathematics classification lecture From Daniel Friedrich on February 22nd, 2021 0 likes 72 plays 0 Course Code SCEE09004 Publisher Daniel Friedrich Licence Type Creative Commons - Attribution Language English Date Created February 20th, 2021
17:50 FDS-S2-02-2-1 Principle of logistic regression FDS-S2-02-2-1 Principle of logistic regression	FDS-S2-02-2-1 Principle of logistic regression We introduce the principle of logisitc regression, illustrating its application to a credit approval dataset. We also introduce the concepts of odds and odds ratios. inf2-fds regression odds probability beta approval success x. age variable function coefficients variables credit ratio minus curve classification naught linear times From David Sterratt on January 19th, 2021 0 likes 228 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 19th, 2021
50:02 Ergodic theory without invariant measures -… Ergodic theory without invariant measures - Stefaan Vaes	Ergodic theory without invariant measures - Stefaan Vaes EMS talk Stefaan Vaes (KU Leuven) Ergodic theory without invariant measures 11 December 2020 To remove the captions from this video press CC on the bottom toolbar. mathematics measure transformations space transformation action probability orbit groups equivalence measures classification cycle algebra relation infinity invariant point theorem neumann theory From GILLIAN KERR on December 11th, 2020 0 likes 31 plays 0 Licence Type All rights reserved Language english Date Created December 11th, 2020
51:21 MLP Q&A 2 - Session 5 (Week 11) MLP Q&A 2 - Session 5 (Week 11)	MLP Q&A 2 - Session 5 (Week 11) Machine Learning Practical Q&A 2 - Session 5 (Week 11). machine learning deep learning question network problem class pixels thing background classes backgrounds things object validation image sets segmentation images classification units kind questions From Pavlos Andreadis on December 2nd, 2020 1 likes 6 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
55:00 November 25 Lucas Mason-Brown What is a unipotent… November 25 Lucas Mason-Brown What is a unipotent representation	November 25 Lucas Mason-Brown What is a unipotent representation An automated programme has been used to generate the subtitles on this talk. icms repnet representations orbit unit character representation ideals orbits ideal classification equivalence coverings cover groups quantisation algebra nilpotent cheque bash definition bar From OLLIE Quinn on November 26th, 2020 0 likes 102 plays 0 Course Code ICMS Publisher ICMS Licence Type All rights reserved Language English Date Created November 26th, 2020
54:43 Desmond Higham 16 November Should We Be Perturbed… Desmond Higham 16 November Should We Be Perturbed About Deep Learning	Desmond Higham 16 November Should We Be Perturbed About Deep Learning ICMS OWNA An automated programme has been used to generate the subtitles on this talk. icms owna point error network precision attack softmax points epsilon algorithm change classification dimension errors function validation output images analysis perturbations things From OLLIE Quinn on November 16th, 2020 0 likes 288 plays 0 Course Code ICMS Publisher ICMS Licence Type All rights reserved Language English Date Created November 16th, 2020
09:48 ML5: K-Nearest Neighbours Classification ML5: K-Nearest Neighbours Classification	ML5: K-Nearest Neighbours Classification In this video, we introduce the simplest classifier: the K-Nearest Neighbours classifier. This classifier has no trainable parameters, and classifies test points by finding its closest training… test point training neighbors class points classifier validation classification parameters hyperparameters vector dog george distance spam cat jackson vote step From Elliot Crowley on November 9th, 2020 0 likes 11 plays 0
03:03 AHMED_Salahuddin AHMED_Salahuddin	AHMED_Salahuddin PLEASE NOTE: The video captions have been auto generatedStudent name: AHMED, Salahuddin Presentation title: Community use of digital auscultation to improve diagnosis of childhood pneumonia in… respire asm lung children pneumonia auscultation crackles classification stethoscope care inclusion algorithm childhood diagnosis members end providers accuracy sound machine provider sounds From Claire Jankowska on November 3rd, 2020 0 likes 43 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created November 3rd, 2020
04:19 MLP Lecture 07 - Clip 09 - a Short History of CNNs MLP Lecture 07 - Clip 09 - a Short History of CNNs	MLP Lecture 07 - Clip 09 - a Short History of CNNs Machine Learning Practical (MLP) Lecture 07, Clip 09 / 09. machine learning deep learning times maps feature network size image nets class performance networks kernel features gradients lecture layers probability classes error classification model From Pavlos Andreadis on November 2nd, 2020 1 likes 161 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English

Search for tag: "classification"

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