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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
14:38 XAI Lecture Recording: InTrees (Part 3) XAI Lecture Recording: InTrees (Part 3)	XAI Lecture Recording: InTrees (Part 3) This lecture will cover InTrees, which is a model-specific XAI method for tree ensembles. rules rule tree entries conditions decision node questions quality output condition ensembles error trees nodes regression instances 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
47:24 Plenary Lecture II: Daniel Cooley Plenary Lecture II: Daniel Cooley	Plenary Lecture II: Daniel Cooley This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Daniel Cooley Talk Title: Climatic extremes: current statistical challenges Abstract:… eva climate fire model weather series attribution dependence tail models analysis observations output kind linear risk bit 21st century change 30th From Belle Taylor on July 2nd, 2021 0 likes 32 plays 0 Publisher Centre for Statistics Licence Type All rights reserved
18:05 XAI Lecture Recording - Conterfactuals (Part 3) XAI Lecture Recording - Conterfactuals (Part 3)	XAI Lecture Recording - Conterfactuals (Part 3) This lecture will cover the Counterfactuals XAI technique. xai machine learning explainable machine learning counterfactuals counterfactual output model instance prediction function questions objectives feature method variables models epsilon distance loss From Auste Simkute on June 30th, 2021 0 likes 2 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created June 30th, 2021
11:45 XAI Lecture Recording - Preface to XAI (Part 1) XAI Lecture Recording - Preface to XAI (Part 1)	XAI Lecture Recording - Preface to XAI (Part 1) This lecture will formally introduce you to XAI and its techniques. xai explainable machine learning machine learning model output input machine transparency kind module sense models things learning idea lecture notion bit function questions bits decomposability question 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
16:05 XAI Lecture Recording - SHAP (Part 2) XAI Lecture Recording - SHAP (Part 2)	XAI Lecture Recording - SHAP (Part 2) This lecture will provide an overview of one of the most popular XAI techniques - SHAP. xai explainable machine learning machine learning feature features values model shap output shapley instance coalition prediction function kernel axis visualisation instances tree impact cases leaf linear 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
13:15 XAI Lecture Recording - SHAP (Part 1) XAI Lecture Recording - SHAP (Part 1)	XAI Lecture Recording - SHAP (Part 1) This lecture will provide an overview of one of the most popular XAI techniques - SHAP. xai explainable machine learning machine learning shap model feature values shapley features prediction impact instance game dash linear theory absence presence shop explanation vector output contribution 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
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 1 plays 0 Licence Type All rights reserved The University of Edinburgh Language English
53:17 23 April 2021: Theodore Papamarkou - Challenges… 23 April 2021: Theodore Papamarkou - Challenges in Markov chain Monte Carlo for Bayesian neural networks	23 April 2021: Theodore Papamarkou - Challenges in Markov chain Monte Carlo for Bayesian neural networks The subtitles/captions on this talk are being edited. They will be available within 2 weeks of the talk being published. 23 April 2021Theodore Papamarkou - Challenges in Markov chain Monte Carlo… statistic research data science networks layer mcmc space parameters problem weights inference marginalisation convergence function output likelihood identifiability parameter bit posterior percent activation probability From OLLIE Quinn on April 29th, 2021 0 likes 28 plays 0 Licence Type All rights reserved Language English Date Created April 23rd, 2021
$Thumbnail for entry Multiple orthogonal polynomials and branched continued fractions: An unexpected connection - Alan Sokal$ 49:21 Multiple orthogonal polynomials and branched… Multiple orthogonal polynomials and branched continued fractions: An unexpected connection - Alan Sokal	Multiple orthogonal polynomials and branched continued fractions: An unexpected connection - Alan Sokal OPSFOTA online seminar series Multiple orthogonal polynomials and branched continued fractions: An unexpected connection Alan Sokal (University College London & New York University) 19 April… mathematics matrix polynomials sequence linear production fraction unit fractions step path functionals branch output moments recurrence gamma coefficients weight rogers diagonal From GILLIAN KERR on April 19th, 2021 0 likes 41 plays 0 Licence Type All rights reserved Language english Date Created April 19th, 2021
55:49 ASR Lecture 12 ASR Lecture 12	ASR Lecture 12 ASR Lecture 12: Neural Networks for Acoustic Modelling 3 speech recognition features network weights layer units unit context gate networks input model output sort point frame kind bit frames lecture lstms From Peter Bell on March 25th, 2021 0 likes 62 plays 0 Licence Type Creative Commons - Attribution Non Commercial Date Created February 25th, 2021
57:00 ASR Lecture 10 (part 2); Lecture 11 ASR Lecture 10 (part 2); Lecture 11	ASR Lecture 10 (part 2); Lecture 11 ASR Lecture 10 (part 2): Neural network models (1); ASR Lecture 11: Neural network models (2) speech recognition network networks probability bit speech recognition features output layer error weights outputs label delta things function hmm term lecture layers From Peter Bell on March 25th, 2021 0 likes 67 plays 0 Licence Type Creative Commons - Attribution Non Commercial Date Created February 22nd, 2021
01:01:20 8 March 2021 - Carola-Bibiane Schönlieb… 8 March 2021 - Carola-Bibiane Schönlieb (University of Cambridge) - Structure-preserving deep learning	8 March 2021 - Carola-Bibiane Schönlieb (University of Cambridge) - Structure-preserving deep learning 8 March 2021 Carola-Bibiane Schönlieb (University of Cambridge) - Structure-preserving deep learning Abstract: Over the past few years, deep learning has risen to the foreground as a topic of… one world numerical analysis owna network networks kind function learning ode input output layers problem problems gradient thing layer linear image training analysis instance continuum From OLLIE Quinn on March 8th, 2021 0 likes 78 plays 0 Licence Type All rights reserved Language English Date Created March 8th, 2021
02:17 SL week 10 intro SL week 10 intro	SL week 10 intro Dr Polly Hashmi hcp-med year 1 sustaining life blood pressure volume week angiotensin blockers diuretics topics questions drugs hypertension pathophysiology renin responses functions output professor maxwell weaknesses strengths From Gavin Brown on March 5th, 2021 0 likes 9 plays 0 Licence Type Creative Commons - Attribution Non Commercial Share A Like
01:05:26 CP2 CNS2 Parkinson's disease Dr Phil Larkman CP2 CNS2 Parkinson's disease Dr Phil Larkman	CP2 CNS2 Parkinson's disease Dr Phil Larkman Pharmacology of Parkinson's disease l-dopa dopamine disease dopa neurons pathway brain parkinson ganglia basal motor symptoms output treatment receptors nuclei degeneration drug drugs phosphorylation pathophysiology From Philip Larkman on March 2nd, 2021 0 likes 20 plays 0 Licence Type Creative Commons - Attribution
43:14 UK-APASI in Mathematical Sciences: John H.… UK-APASI in Mathematical Sciences: John H. Njagarah	UK-APASI in Mathematical Sciences: John H. Njagarah Subtitles will be added soon. Wednesday 24 February 2021 UK-APASI in Mathematical Sciences John H. Njagarah, Botswana International University - Sensitivity analysis of parameters of an epidemic… parameters values sensitivity parameter drug epidemic model analysis reproduction output respect influence individuals users change population cases isolation naught measure From Liam Holligan on February 24th, 2021 0 likes 12 plays 0 Publisher Liam Holligan Licence Type Creative Commons - Attribution Language English Date Created February 24th, 2021

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