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20:26 HealthyR demo: geom_bar() vs geom_col() HealthyR demo: geom_bar() vs geom_col()	HealthyR demo: geom_bar() vs geom_col() Data and code at: https://github.com/SurgicalInformatics/healthyr_demos healthyr rstats country bar proportion plot geom level dataset winner artists winter count equals bit lines 3d bars position times variable winners From Riinu Pius 0 likes 24 plays 0 Licence Type Creative Commons - Attribution
31:11 HealthyR demo: finalfit.org HealthyR demo: finalfit.org	HealthyR demo: finalfit.org Data and code at: https://github.com/SurgicalInformatics/healthyr_demos rstats healthyr factor function table variables regression plot lot ulcer reference level variable things age analysis question package column tables values default From Riinu Pius 0 likes 41 plays 0 Licence Type All rights reserved The University of Edinburgh
42:44 David Beltran - Sharp $L^p$ bounds for the… David Beltran - Sharp $L^p$ bounds for the helical maximal function	David Beltran - Sharp $L^p$ bounds for the helical maximal function A Young Researchers Symposium in Harmonic Analysis David Beltran, University of Wisconsin-Madison 23 June 2022 icms function estimate pieces cone estimates curve problem derivatives root minus epsilon dimensions variable decay analysis thing infinity coupling result lp From Iain Cms 0 likes 9 plays 0 Licence Type All rights reserved Date Created June 23rd, 2022
41:45 Sharp subelliptic estimates via an uncertainty… Sharp subelliptic estimates via an uncertainty principle - Gian Maria Dall'Ara	Sharp subelliptic estimates via an uncertainty principle - Gian Maria Dall'Ara Fourier Analysis @ 200 Sharp subelliptic estimates via an uncertainty principle Gian Maria Dall'Ara, Scuola Normale Superiore (Pisa) 30 June 2022 icms problem domain function solution boundary condition functions mapping bar point ellipticity domains delta disc regularity form l2 gradient variable origin From Iain Cms 0 likes 30 plays 0 Licence Type All rights reserved Date Created June 30th, 2022
35:27 Anisotropic Mesh Adaptation for Topology… Anisotropic Mesh Adaptation for Topology Optimisation: from Theory to Practice - Nicola Ferro	Anisotropic Mesh Adaptation for Topology Optimisation: from Theory to Practice - Nicola Ferro Adaptive Moving and Anisotropic Meshes for the Numerical Approximation of PDEs Anisotropic Mesh Adaptation for Topology Optimisation: from Theory to Practice Nicola Ferro (Politecnico di Milano) … icms topology optimization problem material constraints density framework adaptation stress structure scale constraint physics variable elements microscale means compliance application mesh From Iain Cms 0 likes 34 plays 0 Licence Type All rights reserved Language English Date Created May 11th, 2022
12:22 Jointly Distributed Random Variables Jointly Distributed Random Variables	Jointly Distributed Random Variables Discrete Mathematics and Probability 2021/22 Week 10 Part 2 Jointly Distributed Random Variables informatics dmp probability variables function values density mass functions variable range pair rectangle distribution volume probabilities curve situation integration sum numbers space From Ian Stark 1 likes 417 plays Course Code INFR08031 Publisher Ian Stark — The University of Edinburgh Licence Type Creative Commons - Attribution No Derivatives Language English Date Created November 18th, 2021
54:53 IDS 2021 - Week 08 - Code along IDS 2021 - Week 08 - Code along	IDS 2021 - Week 08 - Code along Recording of code-along session for Week 08. data science function things thing colon package script variables reason functions loop problem district variable population areas week pubs cleanup values bit From David Elliott 0 likes 7 plays 0 Course Code MATH08077 Publisher Edinburgh University Licence Type Creative Commons - Attribution Share A Like Language English Date Created November 11th, 2021
33:45 LAGOON: Véronique Bazier-Matte (UConn, USA) LAGOON: Véronique Bazier-Matte (UConn, USA)	LAGOON: Véronique Bazier-Matte (UConn, USA) Subtitles will be added soon. 04 November 2021 Véronique Bazier-Matte (UConn, USA): Triangulations of the Möbius strip and its connections with quasi-cluster algebras art triangle cluster triangulation arcs arc point variable cross side mutation variables algebra thing times triangulations surface kind square triangles From Liam Holligan 0 likes 8 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created November 4th, 2021 Retain Source File Yes
52:23 Peter Ashwin Peter Ashwin	Peter Ashwin Mathematics of the Climate Crisis: Extremes and Tipping Points Peter Ashwin, University of ExeterThursday 4 November This recording is subtitled. You can turn off the subtitles by pressing CC. icms climate crisis ashwin sort attractors equation past point systems pullback limit behaviour parameter equilibria theory variables future variable timescale cases thing model things From Sarah Black 0 likes 19 plays 0 Licence Type All rights reserved Date Created November 4th, 2021
01:31:32 DDC Session 7 Recording DDC Session 7 Recording	DDC Session 7 Recording Recording of session 7 (fitting) of data-driven chemistry 2021-22 python data-driven chemistry function fit plot dataset correlation points linear minimum residuals point error array concentration variable functions temperature breakout slope solubility kind From James Cumby 0 likes 34 plays 0 Course Code CHEM08031 Licence Type Creative Commons - Attribution Language English Date Created November 4th, 2021 Retain Source File Yes
01:12:29 DDC Session 3 Recording DDC Session 3 Recording	DDC Session 3 Recording Recording from session 3 of data-driven chemistry 2021-22 chemistry data-driven python function thing things functions bit session string temperature variables celsius assessment end variable question brackets week argument arguments deadline feedback From James Cumby 0 likes 22 plays 0 Course Code CHEM08031 Licence Type Creative Commons - Attribution Language English Date Created October 7th, 2021 Retain Source File Yes
01:41:50 DDC Session 2 Recording DDC Session 2 Recording	DDC Session 2 Recording Zoom recording of session 2 of Data-driven chemistry 2021-22. python data-driven chemistry session statement numbers thing things column mass table range week end elements tasks library columns dataframe statements variable minutes element From James Cumby 0 likes 57 plays 0 Course Code CHEM08031 Licence Type Creative Commons - Attribution Language English Date Created September 30th, 2021 Retain Source File Yes
52:41 One World: Stochastic Numerics and Inverse… One World: Stochastic Numerics and Inverse Problems - Raul Tempone (KAUST)	One World: Stochastic Numerics and Inverse Problems - Raul Tempone (KAUST) Subtitles will be added soon. One World: Stochastic Numerics and Inverse Problems Raul Tempone (KAUST) oneworld stochastic numerics and inverse problems seminar icms respect approximation level multi measure sampling variance samples rate context expectation cost quantity parameter process term sample carlo monte subspace thing delta variable From Liam Holligan 0 likes 34 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created September 22nd, 2021
14:24 Computational Interlude 1 part 1 Computational Interlude 1 part 1	Computational Interlude 1 part 1 First part of computational interlude 1 lecture for Introduction to Cognitive Science 2021-22, Jia Loy. python programme string quotes strings object instance things variables end numbers point types lecture quote integers objects names variable foods From Alistair Isaac 0 likes 133 plays 0
13:34 Computational Interlude 1 part 2 Computational Interlude 1 part 2	Computational Interlude 1 part 2 The second part of the first computational interlude lecture by Jia Loy for Introduction to Cognitive Science 2021-22 loop iteration sequence programme python variable word indentation things lecture food participant body counter calculation numbers statement words participants job From Alistair Isaac 0 likes 102 plays 0
01:36:58 Robust optimisation: Recovery of signals from… Robust optimisation: Recovery of signals from noisy outputs - Lecture 3 - Aharon Ben-Tal	Robust optimisation: Recovery of signals from noisy outputs - Lecture 3 - Aharon Ben-Tal EUROPT Summer School 2021 Monday 20 August to Wednesday 1 Sept 2021 Robust optimisation: Recovery of signals from noisy outputs - Lecture 3 - Aharon Ben-Tal (Technion - Israel Institute of… icms europt summerschool problem matrix demand function solution optimization decision period linear programme cost inventory times output signal variables trajectory robustness uncertainty zeta thing variable diagonal From Liam Holligan 0 likes 45 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created September 3rd, 2021

Search for tag: "variable"

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