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07:58 Medical Sciences 1: Pharmacokinetic Aspects of… Medical Sciences 1: Pharmacokinetic Aspects of General Anaesthesia Part 4 Dr Phil Larkman	Medical Sciences 1: Pharmacokinetic Aspects of General Anaesthesia Part 4 Dr Phil Larkman Physiological influences on anaesthetic distribution brain drug anesthetic blood plasma anesthesia solubility concentration levels protein anesthetics parameters ketamine output drugs proteins rate induction effects agents From Philip Larkman on October 19th, 2020 0 likes 28 plays 0 Licence Type Creative Commons - Attribution
45:15 Research and teaching in statistical and data… Research and teaching in statistical and data sciences seminars: Daniela Castro-Camilo	Research and teaching in statistical and data sciences seminars: Daniela Castro-Camilo Daniela Castro Camilo (University of Glasgow)Title: Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperaturesAbstract: We develop a method for… statistics research data science model dependence distribution anomalies structure space approach values threshold models bit points gaps independence scale neighborhood location stationarity parameters temperature From OLLIE Quinn on October 14th, 2020 0 likes 7 plays 0 Licence Type All rights reserved Language English Date Created October 9th, 2020
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 187 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 191 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
44:18 IMA, LMS Joint Meeting: Topological methods in… IMA, LMS Joint Meeting: Topological methods in Data Science (1-2 October 2020)	IMA, LMS Joint Meeting: Topological methods in Data Science (1-2 October 2020) An automated programme is used to generate the subtitles on this talk. You can remove the subtitles by pressing CC on the bottom toolbar. Ran Levi (Aberdeen) - Combinatorial Structures in Neural… graph coefficient parameters vertices thing tournaments things tribes parameter complex neurons vertex brain respect matrix density neighborhood tournament clicks edges From Liam Holligan on October 9th, 2020 0 likes 5 plays 0 Licence Type All rights reserved Language English Date Created October 1st, 2020
48:50 Research and the “AI Revolution” \|… Research and the “AI Revolution” \| Professor Christopher Bishop \| Distinguished Lecture \| School of Informatics	Research and the “AI Revolution” \| Professor Christopher Bishop \| Distinguished Lecture \| School of Informatics Recording of Research and the “AI Revolution” - a School of Informatics Distinguished Lecture presented by Professor Christopher Bishop on 5 October 2020. Christopher Bishop is a… school of informatics artificial intelligence professor christopher bishop distinguished lecture ai revolution the university of edinburgh microsoft machine learning sort expertise molecules things ai application networks technologies examples storage algorithms process bit idea domain space parameters From Nicola Hopper on October 6th, 2020 0 likes 36 plays 0 Publisher UoE School of Informatics Licence Type All rights reserved The University of Edinburgh Language English Date Created October 5th, 2020
17:15 Lecture 9 - Fundamentals of Optimisation Lecture 9 - Fundamentals of Optimisation	Lecture 9 - Fundamentals of Optimisation Lecture 9 - Fundamentals of Optimisation heat transfer flow function optimization rate integer exchanger efficiency fluid coefficient input column variables parameters mass variable sequence engineering chemical From Mennatallah Mohamed Awny Ali Labib on September 29th, 2020 0 likes 56 plays 0 Course Code CHEEE1005 - CHEDSE4 Licence Type All rights reserved The University of Edinburgh Language English
08:03 RMS2 (20-21) 3.2 RMS2 (20-21) 3.2	RMS2 (20-21) 3.2 Research Methods & Statistics 2 (20-21) Week 3 Lecture 2 beta intercept slopes times slope department accounts effect lines parameters equation predictor variable interaction model term values variables salary plot From Josiah King on September 20th, 2020 0 likes 292 plays 0 Licence Type All rights reserved The University of Edinburgh
08:03 dapR2 (20-21): 8.2 dapR2 (20-21): 8.2	dapR2 (20-21): 8.2 beta intercept slopes times slope department accounts effect lines parameters equation predictor variable interaction model term values variables salary plot From Thomas Booth on September 19th, 2020 0 likes 1 plays 0
10:01 PSR 1 Lecture 5 Part 4 PSR 1 Lecture 5 Part 4	PSR 1 Lecture 5 Part 4 Fine Tuning Lecture Part 4 psr1 fine tuning argument cosmology multiverse universe universes hypothesis fallacy gambler explanation argument parameters values outcome tuning idea response inference principle inverse lecture landscape existence From Johanna Wolff on September 11th, 2020 0 likes 73 plays 0 Course Code PHIL 11160 Licence Type All rights reserved The University of Edinburgh
10:08 PSR 1 Lecture 5 Part 3 PSR 1 Lecture 5 Part 3	PSR 1 Lecture 5 Part 3 Fine Tuning Lecture Part 3 psr1 fine tuning argument cosmology philosophy explanation response values universe selection principle argument observers parameters observer coin fact tuning effect effects patterns sequence squad firing position From Johanna Wolff on September 11th, 2020 0 likes 76 plays 0 Course Code PHIL 11160 Licence Type All rights reserved The University of Edinburgh
05:10 PSR 1 Lecture 5 Part 1 PSR 1 Lecture 5 Part 1	PSR 1 Lecture 5 Part 1 PSR 1 Lecture 5 Part 1 Fine Tuning Argument; psr 1 fine tuning argument cosmology universe parameters density energy values bang model models galaxies universes conditions stars structures shape questions week force formation forces From Johanna Wolff on September 9th, 2020 0 likes 50 plays 0 Course Code PHIL 11160 Publisher Mari-Nikol Panteva Licence Type All rights reserved The University of Edinburgh
20:31 PSR 1 Lecture 5 Part 2 PSR 1 Lecture 5 Part 2	PSR 1 Lecture 5 Part 2 Part 2 Fine Tuning Lecture: The Fine Tuning Argument psr 1 fine tuning argument cosmology probability argument explanation creator probabilities clouds horizon universe values tuning inference background knowledge evidence hypothesis parameters space rule chance event From Johanna Wolff on September 7th, 2020 0 likes 77 plays 0 Course Code PHIL 11160 Licence Type All rights reserved The University of Edinburgh
08:50 EPCC-PS-WritingProgramsForPeople-5.5-TipsConclusio… EPCC-PS-WritingProgramsForPeople-5.5-TipsConclusion	EPCC-PS-WritingProgramsForPeople-5.5-TipsConclusion INFD11016: Lecture 3; Video 5 of 5 files configuration packages documentation users programs values source parameters tar command creation count entity minutes versions linux tools libraries types From Michael Jackson on July 29th, 2020 0 likes 52 plays 0 Course Code INFD11016 Licence Type Creative Commons - Attribution No Derivatives Language English
13:41 4.4-part4: The gamma distribution 4.4-part4: The gamma distribution	4.4-part4: The gamma distribution . ... distribution alpha pdf function beta gamma minus square parameters times cdf variance expectation fact distributions nu equals parameter videos chi From Vesselin Velichkov on July 20th, 2020 0 likes 4 plays 0 Licence Type All rights reserved The University of Edinburgh
12:42 4.4-part1: The exponential and gamma distributions 4.4-part1: The exponential and gamma distributions	4.4-part1: The exponential and gamma distributions . ... lambda distribution minus function variance pdf cdf probability definition mu parameter effects liu sigma square times parameters beta x. poisson From Vesselin Velichkov on July 20th, 2020 0 likes 2 plays 0 Licence Type All rights reserved The University of Edinburgh

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