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30:05 24th Nov: Enabling Academia: making UK HEIs more… 24th Nov: Enabling Academia: making UK HEIs more accessible	24th Nov: Enabling Academia: making UK HEIs more accessible Enabling Academia: making UK HEIs more accessible Dr Jen Remnant, Disability Inclusive Science Careers, Heriot Watt University jen.remnant@hw.ac.uk Vignettes used in the training session that were… disability university of edinburgh inclusion accessibility ableism human resources managers manager disabilities policies vignettes universities performance employee equality diversity From Katie Nicoll Baines on November 24th, 2020 0 likes 12 plays 0 Licence Type All rights reserved Date Created November 24th, 2020
06:53 IDS - Week 10 - 01 - Keeping up with IDS IDS - Week 10 - 01 - Keeping up with IDS	IDS - Week 10 - 01 - Keeping up with IDS Keeping up with IDS - Week 10 data science rstats week model coefficient correlation variables questions homework issues question predictor call class team projects progress relationship linear performance increases feedback From Mine Cetinkaya-Rundel on November 23rd, 2020 0 likes 9 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
07:24 Nomana Zeeshan Nomana Zeeshan	Nomana Zeeshan Presentation title: Technology in problem-based learning on under five pneumonia among Pakistani medical students; a pedagogical research As part of the RESPIRE Annual Scientific Meeting 2020, each… respire respire asm global health pneumonia medical students pakistan respiratory acute respiratory infections technology learning students month study platform portal scenarios patients performance stage student skills knowledge institutions competence assessment seminars intervention videos From Jessica Conway on November 18th, 2020 0 likes 5 plays 0 Licence Type All rights reserved The University of Edinburgh Language English
50:42 Profiling and tools Profiling and tools	Profiling and tools Profiling and tools lecture compiler tools function functions profile application programming performance functionality variables compilers lines variable prof From William Jackson on November 10th, 2020 0 likes 19 plays 0 Course Code INFD11016 Licence Type Creative Commons - Attribution Language English
01:03:55 MLP Q&A 1 - Session 3 (Week 7) MLP Q&A 1 - Session 3 (Week 7)	MLP Q&A 1 - Session 3 (Week 7) Machine Learning Practical Q&amp;A 1 - Session 3 (Week 7). machine learning deep learning error training problem solution validation linear optimization learning dropouts exam layers performance coursework weight From Pavlos Andreadis on November 3rd, 2020 1 likes 33 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
01:03:13 INFD11016 Week 7: Computer Basics INFD11016 Week 7: Computer Basics	INFD11016 Week 7: Computer Basics Computer-Basics-Online things performance programming kind memory language systems compiler computer hardware process level job computers processes languages machine files application processor From William Jackson on November 2nd, 2020 0 likes 25 plays 0 Course Code INFD11016 Licence Type Creative Commons - Attribution Language English
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 146 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
45:28 MLP Q&A 2 - Session 2 (Week 5) MLP Q&A 2 - Session 2 (Week 5)	MLP Q&A 2 - Session 2 (Week 5) Machine Learning Practical Q&A 2 - Session 2 (Week 5). machine learning deep learning learning rate problem things projects question units lot thing points experiments groups paper bit gradient curve problems lecture performance baseline From Pavlos Andreadis on October 26th, 2020 1 likes 22 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
12:25 MLP Lecture 04 - Clip 03 - Data splits MLP Lecture 04 - Clip 03 - Data splits	MLP Lecture 04 - Clip 03 - Data splits Machine Learning Practical (MLP) Lecture 04, Clip 03 / 05. machine learning deep learning test validation training network model error performance networks lots cross hyperparameters decisions parameters generalization times kind models capacity exam proxy From Pavlos Andreadis on October 11th, 2020 1 likes 210 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
09:20 MLP Lecture 04 - Clip 02 - Generalisation MLP Lecture 04 - Clip 02 - Generalisation	MLP Lecture 04 - Clip 02 - Generalisation Machine Learning Practical (MLP) Lecture 04, Clip 02 / 05. machine learning deep learning network training test model validation error performance sets hyperparameters samples thing testing weights capacity proxy functions activation parameters networks kind From Pavlos Andreadis on October 11th, 2020 1 likes 216 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
14:49 RMS2 (20-21) 3.4 RMS2 (20-21) 3.4	RMS2 (20-21) 3.4 Research Methods & Statistics 2 (20-21) Week 3 Lecture 4 research methods psychology interaction performance beta salary variables effects effect model variable coefficients interpretations interactions predictors slope scale pounds outcome predictor coefficient term From Josiah King on September 29th, 2020 0 likes 381 plays 0 Licence Type All rights reserved The University of Edinburgh
14:40 RMS2 (20-21) 3.6 RMS2 (20-21) 3.6	RMS2 (20-21) 3.6 Research Methods & Statistics 2 (20-21) Week 3 Lecture 6 interaction effects effect interactions conscientiousness beta linear range neuroticism power term performance point context variables measurement lines types model variable From Josiah King on September 29th, 2020 0 likes 316 plays 0 Licence Type All rights reserved The University of Edinburgh
11:27 RMS2 (20-21) 3.5 RMS2 (20-21) 3.5	RMS2 (20-21) 3.5 Research Methods & Statistics 2 (20-21) Week 3 Lecture 5 values performance deviation plot function slopes significance model interaction interactions range salary regions variable row relationship m2 side minus beta From Josiah King on September 29th, 2020 0 likes 383 plays 0 Licence Type All rights reserved The University of Edinburgh
14:55 dapR2 (20-21): 8.6 dapR2 (20-21): 8.6	dapR2 (20-21): 8.6 interaction effects effect interactions conscientiousness beta linear range neuroticism power term performance point context variables measurement lines types model variable From Thomas Booth on September 20th, 2020 0 likes 119 plays 0
11:27 dapR2 (20-21): 8.5 dapR2 (20-21): 8.5	dapR2 (20-21): 8.5 values performance deviation plot function slopes significance model interaction interactions range salary regions variable row relationship m2 side minus beta From Thomas Booth on September 20th, 2020 0 likes 138 plays 0
15:29 dapR2 (20-21): 8.4 dapR2 (20-21): 8.4	dapR2 (20-21): 8.4 interaction performance variables beta salary effects model effect interactions coefficients interpretations variable predictors recordings slope pounds outcome predictor scale coefficient From Thomas Booth on September 20th, 2020 0 likes 145 plays 0

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