Search for tag: "probability"

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47:53 Machine learning - the basics Machine learning - the basics	Machine learning - the basics Machine learning (ML) is an umbrella term for solving problems for which development of algorithms by human programmers would be cost-prohibitive, and instead the problems are solved by helping… machine learning data skills learning machine model regression classification training algorithms algorithm patterns images characteristics decision probability recognition image dataset labels computer reinforcement method From Tracy Steinberg 0 likes 8 plays 0 Publisher Tracy Steinberg Licence Type All rights reserved The University of Edinburgh Language British English Date Created September 8th, 2023
59:23 Higgs Hour: Somrita Ray 'To reset, or not to… Higgs Hour: Somrita Ray 'To reset, or not to reset'	Higgs Hour: Somrita Ray 'To reset, or not to reset' https://higgs.ph.ed.ac.uk/event/to-reset-or-not-to-reset/ higgs centre diffusion process potential resetting target rate passage origin transition distribution point drift position question problem density equation probability particle energy From Ines Foidl 0 likes 3 plays 0 Licence Type All rights reserved Date Created July 21st, 2023 Retain Source File Yes
34:59 learnBayes: Bayesian linear models for LEL (2023)… learnBayes: Bayesian linear models for LEL (2023) Part Ib	learnBayes: Bayesian linear models for LEL (2023) Part Ib An introduction to Bayesian linear models in R for Linguistics and English Language. For info and materials, see https://stefanocoretta.github.io/learnBayes/ statistics bayesian linear models linguistics word effect probability effects model level distribution priors reaction values distance difference times things population participants calls default intercept thing From Stefano Coretta 0 likes 1 plays 0 Licence Type Creative Commons - Attribution Non Commercial Language English Date Created July 28th, 2023
41:24 learnBayes: Bayesian linear models for LEL (2023)… learnBayes: Bayesian linear models for LEL (2023) Part Ia	learnBayes: Bayesian linear models for LEL (2023) Part Ia An introduction to Bayesian linear models in R for Linguistics and English Language. For info and materials, see https://stefanocoretta.github.io/learnBayes/ statistics bayesian linear models linguistics model word probability distribution effects times reaction chains models summary values estimate basin things chain intercept effect difference intervals level From Stefano Coretta 0 likes 8 plays 0 Licence Type Creative Commons - Attribution Non Commercial Language English Date Created July 28th, 2023
12:10 CowAlert - Activity sensors for the early… CowAlert - Activity sensors for the early detection of lameness	CowAlert - Activity sensors for the early detection of lameness Peacock Technology’s CowAlert system uses a leg-mounted sensor to collect activity data. This is combined with the cow’s biological data, production data, and farm-associated… royal (dick) school of veterinary studies global academy of agriculture and food security global health academy lameness detection cow sensor sensory system data cows activity lamins probability lying graph dashboard leg farmer alert foot dairy category times table change average status From Eoghan Clarkson 0 likes 21 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created June 9th, 2023
12:05 Module 4: CowAlert - Activity sensors for early… Module 4: CowAlert - Activity sensors for early detection of lameness	Module 4: CowAlert - Activity sensors for early detection of lameness Peacock Technology’s CowAlert system uses a leg-mounted sensor to collect activity data. This is combined with the cow’s biological data, production data, and farm-associated… royal (dick) school of veterinary studies global academy of agriculture and food security global health academy lameness detection cow sensor sensory system behaviour data cows activity lamins probability lying graph dashboard leg farmer alert foot dairy category times table change average status From Eoghan Clarkson 0 likes 6 plays 0 Licence Type All rights reserved The University of Edinburgh
03:58 Kristofer Drummond - UDRC Research Video 2023 Kristofer Drummond - UDRC Research Video 2023	Kristofer Drummond - UDRC Research Video 2023 Kristofer is a PhD candidate at Heriot-Watt University working with the UDRC. 3d photon detection leonardo uncertainty methods processing variables approach estimation image flight target reconstructions integrals distribution probability problem quantification surface From Joe Burchell 0 likes 34 plays 0 Licence Type All rights reserved Retain Source File Yes
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 206 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
27:58 AML: Logistic Regression - Logistic Regression AML: Logistic Regression - Logistic Regression	AML: Logistic Regression - Logistic Regression Applied Machine Learning - INFR11211 Logistic Regression - Logistic Regression Part 2/3 aml machine learning logistic regression function vector decision boundary term classes sense class bias probability input model weight left weights direction regression output values classifier From Oisin Mac Aodha 1 likes 255 plays Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
10:51 AML: Naive Bayes - Naive Bayes with Continuous… AML: Naive Bayes - Naive Bayes with Continuous Data	AML: Naive Bayes - Naive Bayes with Continuous Data Applied Machine Learning - INFR11211 Naive Bayes - Naive Bayes with Continuous Data Part 3/3 aml machine learning naive bayes class height features distribution weight bayes alpaca feature parameters covariance dimensions probability assumption vector alpacas conditionals variance overlap width llamas From Oisin Mac Aodha 0 likes 207 plays Licence Type All rights reserved The University of Edinburgh
01:27:52 Damien Stehlé - Introduction to… Damien Stehlé - Introduction to Lattice-based Cryptography (Pt 1)	Damien Stehlé - Introduction to Lattice-based Cryptography (Pt 1) Subtitles will be added at a later date. 25 July 2022 Foundations and Applications of Lattice-based Cryptography Damien Stehlé, ENS Lyon Introduction to Lattice-based Cryptography (Pt 1) vector times basis lattice vectors probability determinant dimension columns reduction algorithm gamma minimum matrix problem factor combinations emma rows metrics From Liam Holligan 0 likes 156 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created August 2nd, 2022 Retain Source File Yes
10:49 Student Perspective: Introduction to Edinburgh Student Perspective: Introduction to Edinburgh	Student Perspective: Introduction to Edinburgh 3rd year Informatics student, Donald Jennings, tells us about his first two years studying at the University of Edinburgh. His presentation covers: 1st year at Edinburgh Optional Courses 2nd year… school of informatics courses semester logic programming science informatics experience probability mathematics degree programme student uni systems end stuff calculus learning algebra coursework From Nicola Hopper 0 likes 53 plays 0 Publisher UoE School of Informatics Licence Type All rights reserved The University of Edinburgh Language English Date Created July 28th, 2022
30:04 Learning from equivalence queries and… Learning from equivalence queries and unprovability of circuit upper bounds - Igor Oliveira	Learning from equivalence queries and unprovability of circuit upper bounds - Igor Oliveira Mathematical Approaches to Lower Bounds: Complexity of Proofs and Computation Learning from equivalence queries and unprovability of circuit upper bounds University of Warwick Igor Oliveira icms learning algorithms size queries language algorithm circuit np theory bounds proof instance counterexamples probability problem uniform form randomness result complexity From Iain Cms 0 likes 21 plays 0 Licence Type All rights reserved Date Created July 5th, 2022
52:33 Root and Community Inference on Preferential… Root and Community Inference on Preferential Attachment Networks - Min Xu	Root and Community Inference on Preferential Attachment Networks - Min Xu Structural Breaks and Shape Constraints Root Community Inference on Preferential Attachment Networks Min Xu (Rutgers University) 18 May 2022 icms tree node graph nodes root degree model size confidence trees cluster probability network edges paper lot alpha beta algorithm distribution From Iain Cms 0 likes 40 plays 0 Licence Type All rights reserved Language English Date Created May 19th, 2022
32:15 Isotonic Distributional Regression under… Isotonic Distributional Regression under Likelihood Ratio Ordering - Lutz Duembgen	Isotonic Distributional Regression under Likelihood Ratio Ordering - Lutz Duembgen Structural Breaks and Shape Constraints Isotonic Distributional Regression under Likelihood Ratio Ordering Lutz Duembgen (University of Bern) 18 May 2022 icms distribution probability likelihood function ratio p1 p2 points regression sets distributions point values grid times beta constraint mass measure threshold From Iain Cms 0 likes 52 plays 0 Licence Type All rights reserved Language English Date Created May 19th, 2022
23:13 The Loughran--Smeets Conjecture for… The Loughran--Smeets Conjecture for Châtelet Type Varieties - Kevin Destagnol	The Loughran--Smeets Conjecture for Châtelet Type Varieties - Kevin Destagnol Rational Points on Higher-Dimensional Varieties The Loughran--Smeets Conjecture for Châtelet Type Varieties Kevin Destagnol (Université Paris Saclay, Orsay) 28 April 2022 icms sum squares thing factor end problem density bit probability condition degree square talk polynomial primes infinity result root power factors From Iain Cms 0 likes 29 plays 0 Licence Type All rights reserved Language English Date Created April 29th, 2022

Search for tag: "probability"

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