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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 12 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
14:13 USMR lecture 6 part 2 USMR lecture 6 part 2	USMR lecture 6 part 2 The linear model: coefficients, R^2, F usmr psychology ppls statistics rstats model squares alcohol blood freedom sum degrees graph population variance points slope intercept lines reaction linear effect chance significance From Martin Corley on October 22nd, 2020 0 likes 0 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created October 22nd, 2020
20:20 Topic 43: Measuring Performance of an Estimator… Topic 43: Measuring Performance of an Estimator (PETARS, Chapter 6)	Topic 43: Measuring Performance of an Estimator (PETARS, Chapter 6) In this video, the question of measuring and quantifying the performance of an estimator is discussed. The video focusses on the concepts and definitions of bias and variance of the probability… pgee11164 estimator variance bias function times sample values expectation mu clock hat distribution probability sum n. pdf points parameter estimation summation From James Hopgood on October 22nd, 2020 0 likes 23 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 22nd, 2020
03:44 New Text Editor - Copying from Word New Text Editor - Copying from Word	New Text Editor - Copying from Word A new text editor is on its way to Learn, and will be available on the 5th of November 2020. It has an updated look and feel which will be demonstrated in this video. text document content formatting word editor youtube source image points bullet feature paste blackboard channel questions feedback meadow play size blackboard learn From Stephannie Hay on October 15th, 2020 0 likes 14 plays 0 Licence Type Creative Commons - Attribution Date Created October 19th, 2020
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
49:00 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. Vidit Nanda (Oxford) - Geometric anomaly detection in data. … points space homology dimension point manifold boundary neighborhood stuff complex sigma epsilon ball values annulus union spaces algorithm sort picture From Liam Holligan on October 9th, 2020 0 likes 4 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created October 1st, 2020
47:41 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. Kathryn Hess (EPFL) - Trees, barcodes, and symmetric groups … trees tree bar neurons barcodes barcode equivalence permutation lambda process neuron tmd types classes bars sort point algorithm points root From Liam Holligan on October 9th, 2020 0 likes 8 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created October 1st, 2020
46:14 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. Ulrike Tilmann (Oxford) - Homology of random geometric… points manifold boundary point homology radius log function graph question dimension epsilon complex volume sense complexes distance n. union triangle From Liam Holligan on October 9th, 2020 0 likes 8 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created October 2nd, 2020
46:35 Rosanna Laking: Infinite-dimensional… Rosanna Laking: Infinite-dimensional representations of algebras	Rosanna Laking: Infinite-dimensional representations of algebras Rosanna Laking: Infinite-dimensional representations of algebras algebra module spectrum points modules topology point lecture matrix space sets dimension thing definition property kind subgroup examples properties union From OLLIE Quinn on October 8th, 2020 0 likes 8 plays 0 Licence Type All rights reserved Language English Date Created October 8th, 2020
21:39 IDS - Week 02 - 03 - Visualising data with ggplot2 IDS - Week 02 - 03 - Visualising data with ggplot2	IDS - Week 02 - 03 - Visualising data with ggplot2 Syntax and specifics of visualising data with ggplot2 data science rstats statistics species color penguins plot points length bill facet axis function columns grid plots variable depth size visualization legend rows island From Mine Cetinkaya-Rundel on September 28th, 2020 0 likes 37 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
01:02:11 LAGOON: Leicester Algebra and Geometry Open… LAGOON: Leicester Algebra and Geometry Open ONline - Ailsa Keating (Cambridge, UK)	LAGOON: Leicester Algebra and Geometry Open ONline - Ailsa Keating (Cambridge, UK) An automated programme is used to generate the subtitles on this talk. You can remove the subtitles by pressing CC on the bottom toolbar. Ailsa Keating (Cambridge, UK) Homological mirror symmetry… icms points mirror collection vibration fiber space d. category surface curve question intersection kind picture star side spaces bundles numbers cycles From Liam Holligan on September 24th, 2020 0 likes 25 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created September 24th, 2020
39:22 MP Week 1 pt3 MP Week 1 pt3	MP Week 1 pt3 Merleau-Ponty on sensation philosophy experience kind sensation perception objects things experiences structure chapter phenomenologists sensations phenomenology examples hand light quality fact points kinds scene From Dave Ward on September 21st, 2020 0 likes 5 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created September 21st, 2020
24:54 Lecture 5 - Fundamentals of Distillation… Lecture 5 - Fundamentals of Distillation Sequencing	Lecture 5 - Fundamentals of Distillation Sequencing Lecture 5 - Fundamentals of Distillation Sequencing distillation components component column sequence sequences columns pressure boiling point mixture steel gas separation points split bottom equilibrium plant acetylene From Mennatallah Mohamed Awny Ali Labib on September 21st, 2020 0 likes 70 plays 0 Course Code CHEEE1005 - CHEDSE4 Licence Type All rights reserved The University of Edinburgh Language English
18:08 RMS2 (20-21) 3.1 RMS2 (20-21) 3.1	RMS2 (20-21) 3.1 Research Methods & Statistics 2 (20-21) Week 3 Lecture 1 salary interaction department predictor accounts difference plot model points effect beta variable slope outcome manager pounds variables interactions managers intercept From Josiah King on September 20th, 2020 0 likes 326 plays 0 Licence Type All rights reserved The University of Edinburgh
18:50 dapR2 (20-21): 8.1 dapR2 (20-21): 8.1	dapR2 (20-21): 8.1 salary interaction department predictor accounts difference interactions plot model beta points effect slope outcome variable variables manager pounds axis intercept From Thomas Booth on September 19th, 2020 0 likes 2 plays 0
15:21 dapr1_week5_lect1_1 dapr1_week5_lect1_1	dapr1_week5_lect1_1 dapr1_week5_lect1_1 learn function input output sleep values times numbers inputs relationship thing functions point points exam variable plot axis outcome dataset graph From Leonidas Doumas on September 18th, 2020 0 likes 257 plays 0 Licence Type All rights reserved

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