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33:15 AML: Model Selection - Statistical Tests AML: Model Selection - Statistical Tests	AML: Model Selection - Statistical Tests Applied Machine Learning - INFR11211 AML: Model Selection - Statistical Tests Part 2/2 aml machine learning model evaluation distribution hypothesis samples population sample difference variance things splits errors error dataset tests model student values significance test means statistics From Siddharth N 0 likes 200 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
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 161 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
10:18 AML: Optimisation - ML Optimisation AML: Optimisation - ML Optimisation	AML: Optimisation - ML Optimisation Applied Machine Learning - INFR11211 AML: Optimisation - ML Optimisation Part 1/3 aml machine learning optimisation error function log gradient weights regression things weight edit probability linear perspective model direction values vector settings errors points functions From Siddharth N 0 likes 202 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
43:32 Latent Space Data Assimilation - Selime Gurol Latent Space Data Assimilation - Selime Gurol	Latent Space Data Assimilation - Selime Gurol Recent Advances in Numerical Linear Algebra for PDEs, Optimisation, and Data Assimilation Latent Space Data Assimilation Selime Gürol (CERFACS) icms space model idea dimension function observation mattress observations pdf step error reduction instance assimilation layton errors solution learning dynamics samples From Greg McCracken 0 likes 8 plays 0 Publisher Ollie Quinn Licence Type All rights reserved Language English Date Created April 22nd, 2022
03:35 3. Extra resource_DNA repair mechanisms.mp4 (2022) 3. Extra resource_DNA repair mechanisms.mp4 (2022)	3. Extra resource_DNA repair mechanisms.mp4 (2022) Dr Rupsha Fraser integrity hcp-med year 1 dna repair strand damage recombination nucleotide oligarch excision base gap preliminaries errors mismatch enzymes mechanisms breaks mechanism basis replication error From Rupsha Fraser 0 likes 12 plays 0 Licence Type Creative Commons - Attribution Non Commercial Share A Like
01:58 The LEAPS student view: support at university… The LEAPS student view: support at university (subtitled)	The LEAPS student view: support at university (subtitled) LEAPS Volunteer Ellis shares their experience of accessing support at university #leaps essays lot disability stuff errors uni side hell mark habits library circumstances learning leak week hour twitter computer exams assignments From Jennie Younger 0 likes 4 plays 0 Publisher LEAPS Licence Type All rights reserved Date Created February 25th, 2022
13:12 Computational Interlude - Week 8 - Jia Loy - part… Computational Interlude - Week 8 - Jia Loy - part 3_3	Computational Interlude - Week 8 - Jia Loy - part 3_3 3rd part of Computational Interlude 2 for Introduction to Cognitive Science 2021-22, Jia Loy error errors problem bracket syntax python loop string function issue indentation script object print spaces things messages indexes integer module From Alistair Isaac 0 likes 49 plays 0
01:24:22 DDC Session 6 Recording DDC Session 6 Recording	DDC Session 6 Recording Recording of Session 6 of data-driven chemistry 2021-22 python data-driven chemistry units bit array precision numbers arrays distance kind things rooms miles breakout session metres deviation hour errors questions distribution accuracy From James Cumby 0 likes 47 plays 0 Course Code CHEM08031 Licence Type Creative Commons - Attribution Date Created October 28th, 2021 Retain Source File Yes
09:47 Anis Hamadouche Presentation - SSPD 2021 Anis Hamadouche Presentation - SSPD 2021	Anis Hamadouche Presentation - SSPD 2021 Presented at the Sensor Signal Processing for Defence Conference (SSPD) 2021Presentation: "Approximate Proximal-Gradient Methods" Speaker: Anis Hamadouche, Heriot-Watt… sspd 2021 error bounds rate convergence errors table analysis approximations precision algorithm function gradient bound assumptions problems optimization application step vector dimensionality From Joe Burchell 0 likes 37 plays 0 Licence Type All rights reserved Language English Date Created September 15th, 2021
01:35 Joint Spatio-Temporal Bias Estimation and… Joint Spatio-Temporal Bias Estimation and Tracking for GNSS-Denied Sensor Networks - Sofie J. J. Macdonald	Joint Spatio-Temporal Bias Estimation and Tracking for GNSS-Denied Sensor Networks - Sofie J. J. Macdonald SSPD 2021 Poster Lightning Presentation SessionPresenter: Sofie J. J. Macdonald Poster Title: Joint Spatio-Temporal Bias Estimation and Tracking for GNSS-Denied Sensor Networks Collaborators: James R… sspd 2021 sensors calibration method cost exploration errors frame reference poster scalability focus algorithm baseline simulation senses hypotheses grid conjunction function likelihood From Joe Burchell 0 likes 9 plays 0 Licence Type All rights reserved Date Created October 14th, 2021
06:26 S&P Capital IQ: Collection and Standardization S&P Capital IQ: Collection and Standardization	S&P Capital IQ: Collection and Standardization S&P Capital IQ is global company & financial database used in industry and academia. Rachanna Haffner from Capital IQ explains how company financials are sourced, collected, processed and… databases companies financial analysis library and university collections library standardisation collection analysts iq capital cheques statement quality team document documents financials process statements database analysis errors qa industry notes From Catherine Ure 0 likes 15 plays 0 Licence Type All rights reserved
04:24 XAI Lecture Recording: InTrees (Part 1) XAI Lecture Recording: InTrees (Part 1)	XAI Lecture Recording: InTrees (Part 1) This lecture will cover InTrees, which is a model-specific XAI method for tree ensembles. xai xai course explainable machine learning rules trees tree technique interests frequency interpretability ensemble model ensembles entries error approval roads length errors From Auste Simkute 0 likes 28 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created July 7th, 2021
15:37 Machine Learning for extremes: Chen Zhou Machine Learning for extremes: Chen Zhou	Machine Learning for extremes: Chen Zhou This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Chen Zhou Talk Title: Distributed Inference for Tail Empirical and Quantile… eva process tail oracle estimator function machine weight root result machines sample errors proof property infinity estimators statistics average convergence distribution From Belle Taylor 0 likes 75 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 29th, 2021
14:49 A5. DNA damage, mutagenesis & repair_2021 A5. DNA damage, mutagenesis & repair_2021	A5. DNA damage, mutagenesis & repair_2021 Dr Rupsha Fraser hcp-med year 1 integrity dna repair damage mutations strand oligonucleotide cell function gene errors syndrome polymerase base mechanisms error chromosomes protein diseases replication methods From Gavin Brown 0 likes 51 plays 0 Licence Type Creative Commons - Attribution Non Commercial Share A Like
10:13 Partial Differential Equations Lecture 9 - Results Partial Differential Equations Lecture 9 - Results	Partial Differential Equations Lecture 9 - Results Here we look in detail at the results from the test problem and discuss dispersive and dissipative errors. numerical methods hyperbolic equation fractional steps partial differential equations solution amplitude test grid dispersion 3d dissipation error kind problems conditions shape concentration equations delta errors bit wave lots loss From David Ingram 0 likes 91 plays 0 Course Code SCEE09004 Publisher School of Engineering Licence Type Creative Commons - Attribution Language English Date Created February 16th, 2021
46:32 Mihaela Paun (Glasgow): Assessing model mismatch… Mihaela Paun (Glasgow): Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation	Mihaela Paun (Glasgow): Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation 5 February 2021Mihaela Paun (Glasgow): Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulationThere… research statistics model parameters mismatch blood uncertainty errors pressure stiffness parameter vessel vessels flow space values covariance prediction artery matrix function patients From Greg McCracken 0 likes 32 plays 0 Licence Type All rights reserved Language English Date Created February 5th, 2021

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