Search for tag: "probability"

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…

From  Tracy Steinberg 0 likes 8 plays 0  

Higgs Hour: Somrita Ray 'To reset, or not to reset'

https://higgs.ph.ed.ac.uk/event/to-reset-or-not-to-reset/

From  Ines Foidl 0 likes 3 plays 0  

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/

From  Stefano Coretta 0 likes 1 plays 0  

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/

From  Stefano Coretta 0 likes 8 plays 0  

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…

From  Eoghan Clarkson 0 likes 21 plays 0  

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…

From  Eoghan Clarkson 0 likes 6 plays 0  

Kristofer Drummond - UDRC Research Video 2023

Kristofer is a PhD candidate at Heriot-Watt University working with the UDRC.

From  Joe Burchell 0 likes 34 plays 0  

AML: Optimisation - ML Optimisation

Applied Machine Learning - INFR11211 AML: Optimisation - ML Optimisation Part 1/3

From  Siddharth N 0 likes 206 plays 0  

AML: Logistic Regression - Logistic Regression

Applied Machine Learning - INFR11211 Logistic Regression - Logistic Regression Part 2/3

From  Oisin Mac Aodha 1 likes 255 plays

AML: Naive Bayes - Naive Bayes with Continuous Data

Applied Machine Learning - INFR11211 Naive Bayes - Naive Bayes with Continuous Data Part 3/3

From  Oisin Mac Aodha 0 likes 207 plays

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)

From  Liam Holligan 0 likes 156 plays 0  

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…

From  Nicola Hopper 0 likes 53 plays 0  

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

From  Iain Cms 0 likes 21 plays 0  

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

From  Iain Cms 0 likes 40 plays 0  

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

From  Iain Cms 0 likes 52 plays 0  

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

From  Iain Cms 0 likes 29 plays 0