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12:24 AML: Model Selection - Direct Comparison AML: Model Selection - Direct Comparison	AML: Model Selection - Direct Comparison Applied Machine Learning - INFR11211 AML: Model Selection - Direct Comparison Part 1/2 aml machine learning model evaluation model measures models variation regression things difference question choice values test predictions disparity recall effects point errors splits accuracy learning From Siddharth N 0 likes 162 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
19:02 AML: Evaluation - Regression AML: Evaluation - Regression	AML: Evaluation - Regression Applied Machine Learning - INFR11211 AML: Evaluation - Regression Part 2/2 aml machine learning evaluation regression error model values correlation coefficient target variance dataset hat median prediction things points fact predictions fit square consequence difference From Siddharth N 0 likes 162 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
20:16 AML: Generalisation - Measuring Generalisation AML: Generalisation - Measuring Generalisation	AML: Generalisation - Measuring Generalisation Applied Machine Learning - INFR11211 AML: Generalisation - Measuring Generalisation Part 2/3 model error test training variance distribution labels targets hyperparameters prediction expectation predictions validation target values generalisation bias things dataset partition From Siddharth N 0 likes 220 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
41:51 A Theoretically Tractable Framework for K Fold… A Theoretically Tractable Framework for K Fold Cross Vaidation - Sabyasachi Chatterjee	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 icms lambda hat sample estimator risk cross completion prediction estimators validation lasso folds tuning error framework fold inequality predictions problem term From Iain Cms 0 likes 25 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
44:53 25 Feb 2022 Mark Keane, (University College… 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 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… icms statistics research data science model explanation counterfactuals explanations sort things prediction lot models image domain methods predictions ai fact loan method idea feature thing From Greg McCracken 0 likes 18 plays 0 Licence Type All rights reserved Language English Date Created February 25th, 2022
48:53 Oliver Stoner (University of Glasgow) -… Oliver Stoner (University of Glasgow) - Statistical methods for nowcasting daily hospital deaths from COVID-19	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… icms research teaching statistical data sciences delay model deaths reporting parts variability distribution predictions total counts death prediction methods framework approach values paper problem situation proportion From Greg McCracken 0 likes 19 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created February 11th, 2022 Retain Source File Yes
08:54 XAI Lecture Recording: PDP/ICE (Part 3) XAI Lecture Recording: PDP/ICE (Part 3)	XAI Lecture Recording: PDP/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 0 likes 27 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created July 14th, 2021
46:56 7 May 2021 - Mitchel Colebank (North Carolina… 7 May 2021 - Mitchel Colebank (North Carolina State University) - On the effects of vascular network size for hemodynamic parameter inference	7 May 2021 - Mitchel Colebank (North Carolina State University) - On the effects of vascular network size for hemodynamic parameter inference 7 May 2021 Mitchel Colebank (North Carolina State University) - On the effects of vascular network size for hemodynamic parameter inferenceComputational fluid dynamics (CFD) modeling is an emerging… statistics research data data science model network pressure parameters vessel vasculature vessels resistance hypertension parameter predictions size sensitivity flow identifiability compliance stiffness space arteries catheterization From Greg McCracken 0 likes 27 plays 0 Licence Type All rights reserved Language English Date Created May 7th, 2021
01:25 Successfully Evaluating Predictive Modelling … Successfully Evaluating Predictive Modelling Trailer	Successfully Evaluating Predictive Modelling Trailer Our free short online course, Successfully Evaluating Predictive Modelling will help you gain an in-depth understanding of evaluation and sampling approaches for effective predictive modelling using… ocp trailer activities lots regression analytics learners environments coding python opportunity readings videos learning tias probability predictions bayes models accuracy hands linear From Calum Macphail 0 likes 28 plays 0 Licence Type Creative Commons - Attribution Non Commercial Share A Like
23:48 REF2020: Vladimir Saleev- High-Energy… REF2020: Vladimir Saleev- High-Energy Factorization for Drell-Yan process in hadron collisions with new Unintegrated PDFs	REF2020: Vladimir Saleev- High-Energy Factorization for Drell-Yan process in hadron collisions with new Unintegrated PDFs REF2020: Vladimir Saleev- High-Energy Factorization for Drell-Yan process in hadron collisions with new Unintegrated PDFs higgs centre ref2020 energy approach mass momentum region formula functions distribution model factorizations pdf approximations predictions process formalism form approximation kinematics factor difference From Lyndsey Ballantyne 0 likes 10 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created December 10th, 2020
$Thumbnail for entry REF2020: Anton Karpishkov- Estimates for the single-spin asymmetries in $p^{uparrow}p to Jpsi X$ process at PHENIX RHIC and SPD NICA$ 22:28 REF2020: Anton Karpishkov- Estimates for the… REF2020: Anton Karpishkov- Estimates for the single-spin asymmetries in $p^{uparrow}p to Jpsi X$ process at PHENIX RHIC and SPD NICA	REF2020: Anton Karpishkov- Estimates for the single-spin asymmetries in $p^{uparrow}p to Jpsi X$ process at PHENIX RHIC and SPD NICA REF2020: Anton Karpishkov- Estimates for the single-spin asymmetries in $p^{uparrow}p to Jpsi X$ process at PHENIX RHIC and SPD NICA higgs centre re2020 model predictions gpm function production prediction contribution button question panel models cross modal parameterizations operation region asymmetries asymmetry rpc contributions From Lyndsey Ballantyne 0 likes 4 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created December 10th, 2020
41:20 REF2020: Sasha Glazov- Towards precision PDFs REF2020: Sasha Glazov- Towards precision PDFs	REF2020: Sasha Glazov- Towards precision PDFs REF2020: Sasha Glazov- Towards precision PDFs higgs centre ref2020 measurement measurements cross acceptance predictions fact asymmetry theory uncertainty pdf idea valence uncertainties point pdfs chi prediction tv quark space From Lyndsey Ballantyne 0 likes 9 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created December 11th, 2020
16:07 REF2020: Bugra Bilin: Z + jet results from CMS… REF2020: Bugra Bilin: Z + jet results from CMS and comparison with TMDs	REF2020: Bugra Bilin: Z + jet results from CMS and comparison with TMDs REF2020: Bugra Bilin: Z + jet results from CMS and comparison with TMDs higgs centre ref2020 jet measurement delta description jets tmd phi ratio tv space law variables comparison left predictions talk pt production pdz pity From Lyndsey Ballantyne 0 likes 11 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created December 7th, 2020
23:35 REF2020: Tobias Neumann- Fiducial qT resummation… REF2020: Tobias Neumann- Fiducial qT resummation of color-singlet processes at N3LL NNLO	REF2020: Tobias Neumann- Fiducial qT resummation of color-singlet processes at N3LL NNLO REF2020: Tobias Neumann- Fiducial qT resummation of color-singlet processes at N3LL NNLO higgs centre ref2020 uncertainties production photon corrections scale processes slides predictions region effect matching talk prescription effects uncertainty result resignation power auto transition From Lyndsey Ballantyne 0 likes 4 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created December 7th, 2020
17:45 Folk psychology - Folk psychology as a theory Folk psychology - Folk psychology as a theory	Folk psychology - Folk psychology as a theory Philosophical methodsVideo 3: folk psychology as a theory philosophical methodology folk psychology theory psychology folk things idea thing hominids theories behaviors kind jones planet mind ultrasonography predictions baby lot desire hominid behavior From Suilin Lavelle 0 likes 131 plays 0 Course Code PHIL11203 Publisher Suilin Lavelle Licence Type All rights reserved The University of Edinburgh Date Created August 18th, 2020
05:44 Analysing Medical Images Analysing Medical Images	Analysing Medical Images Analysing Medical Images hds care science methods healthcare process innovation future discipline passion topics implications experience reporting analysis sites processes techniques learning machine predictions image images imaging segmentation region registration patient intensity point segments knowledge treatment object features detection objects instance diagnosis From Dimitrios Doudesis 0 likes 664 plays 0 Course Code GLHE11086 Licence Type Creative Commons - Attribution Share A Like

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