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LEL Bayesian Linear Models 2023 Sem 1 duration 1 hour 19 minutes LEL Bayesian Linear Models 2023 Sem 1 LEL Bayesian Linear Models 2023 Sem 1	LEL Bayesian Linear Models 2023 Sem 1 This is the recording of the LEL Bayesian Linear Models workshop held in ay 2023/24 Sem 1. statistics linguistics linguistics and english language linear models bayesian statistics From Stefano Coretta 0 likes 26 plays 0 Publisher Stefano Coretta Licence Type Creative Commons - Attribution Non Commercial Share A Like Language English Date Created October 26th, 2023
learnBayes: Bayesian linear models for LEL (2023)… duration 34 minutes 59 seconds 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 12 plays 0 Licence Type Creative Commons - Attribution Non Commercial Language English Date Created July 28th, 2023
learnBayes: Bayesian linear models for LEL (2023)… duration 41 minutes 24 seconds 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 40 plays 0 Licence Type Creative Commons - Attribution Non Commercial Language English Date Created July 28th, 2023
How to get started with data duration 2 minutes 20 seconds How to get started with data How to get started with data	How to get started with data for 'The Power of Data in Farm Animal Practice' Course Course website: https://edin.ac/farm-data data farm term farmer power goals resources setting examples advisors advice ways lots question circumstances process linear steps place situation notebook From Charlotte Gresham 0 likes 42 plays 0 Licence Type All rights reserved The University of Edinburgh
Dr. Mengwei Sun - UDRC Research Video 2023 duration 3 minutes 41 seconds Dr. Mengwei Sun - UDRC Research Video 2023 Dr. Mengwei Sun - UDRC Research Video 2023	Dr. Mengwei Sun - UDRC Research Video 2023 Mengwei is a Research Associate at the Institute of Digital Communication, School of Engineering, University of Edinburgh, Edinburgh, UK from Apr. 2019, working with Dr. James. R. Hopgood. Before… networks sensor systems philtres linear kalman problems estimation tracking sensors measurements algorithm performance characteristics supervisor surveillance monitoring applications scale From Joe Burchell 0 likes 98 plays 0 Licence Type All rights reserved The University of Edinburgh
Python vs R duration 44 minutes 13 seconds Python vs R Python vs R	Python vs R Python vs R is a one-hour webinar designed to introduce beginner or intermediate programmers to data exploration and modelling in Python and R. Includes live coding demonstrations in both Python and… penguins python rprogramming data science modelling linear regression coding From Cerys Ophelia Jane Jenkins 0 likes 32 plays 0 Publisher Cerys Jenkins, Tracy Steinberg Licence Type All rights reserved The University of Edinburgh Language British English Date Created February 8th, 2023
AML: Non-Linear Dimensionality Reduction -… duration 33 minutes 43 seconds AML: Non-Linear Dimensionality Reduction -… AML: Non-Linear Dimensionality Reduction - Visualisation	AML: Non-Linear Dimensionality Reduction - Visualisation Applied Machine Learning - INFR11211 AML: Non-Linear Dimensionality Reduction - Visualisation Part 2/2 aml machine learning dimensionality reduction visualisation space distance points embedding graph manifold measure point distances distribution neighbours linear dataset things weights methods reduction dimensionality iso sne From Siddharth N 1 likes 368 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
AML: Non-Linear Dimensionality Reduction -… duration 11 minutes 3 seconds AML: Non-Linear Dimensionality Reduction -… AML: Non-Linear Dimensionality Reduction - Extending Linear Methods	AML: Non-Linear Dimensionality Reduction - Extending Linear Methods Applied Machine Learning - INFR11211 AML: Non-Linear Dimensionality Reduction - Extending Linear Methods Part 1/2 aml machine learning nonlinear dimensionality reduction function kernel vector pca linear space points basis matrix values phi feature dimensions dimensionality eigenvector kind conditions condition covariance dataset From Siddharth N 0 likes 371 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
AML: Generalisation - What is it? duration 11 minutes 22 seconds AML: Generalisation - What is it? AML: Generalisation - What is it?	AML: Generalisation - What is it? Applied Machine Learning - INFR11211 AML: Generalisation - What is it? Part 1/3 model capacity training regularities test error degree parameters generalisation polynomial flexibility point space examples lot reason linear hyperparameter hyperparameters dataset From Siddharth N 3 likes 388 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
AML: Optimisation - ML Optimisation duration 10 minutes 18 seconds 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 452 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
AML: Exploratory Data Analysis - PCA Examples duration 15 minutes 22 seconds AML: Exploratory Data Analysis - PCA Examples AML: Exploratory Data Analysis - PCA Examples	AML: Exploratory Data Analysis - PCA Examples Applied Machine Learning - INFR11211 AML: Exploratory Data Analysis - PCA Examples Part 3/3 aml machine learning exploratory data analysis pca component dimensions variance direction components linear features axis directions dimensionality outliers wales dimension points principal bca fact e.g. scotland From Siddharth N 2 likes 479 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
AML: Linear Regression - Nonlinear Regression duration 11 minutes 19 seconds AML: Linear Regression - Nonlinear Regression AML: Linear Regression - Nonlinear Regression	AML: Linear Regression - Nonlinear Regression Applied Machine Learning - INFR11211 Linear Regression - Nonlinear Regression Part 3/3 aml machine learning linear regression From Oisin Mac Aodha 2 likes 458 plays Licence Type All rights reserved The University of Edinburgh
AML: Linear Regression - Fitting Regression Models duration 16 minutes 12 seconds AML: Linear Regression - Fitting Regression Models AML: Linear Regression - Fitting Regression Models	AML: Linear Regression - Fitting Regression Models Applied Machine Learning - INFR11211 Linear Regression - Fitting Regression Models Part 2/3 aml machine learning linear regression From Oisin Mac Aodha 1 likes 512 plays Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
AML: Linear Regression - Introduction to… duration 14 minutes 2 seconds AML: Linear Regression - Introduction to… AML: Linear Regression - Introduction to Regression	AML: Linear Regression - Introduction to Regression Applied Machine Learning - INFR11211 Introduction to Regression Part 1/3 aml machine learning linear regression From Oisin Mac Aodha 0 likes 498 plays Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
A Krull-Remak-Schmidt theorem for fusion systems… duration 50 minutes 25 seconds A Krull-Remak-Schmidt theorem for fusion systems… A Krull-Remak-Schmidt theorem for fusion systems - Bob Oliver	A Krull-Remak-Schmidt theorem for fusion systems - Bob Oliver Classifying spaces in homotopy theory: in honour of Ran Levi's 60th BirthdayBob Oliver, Université Paris 13 icms fusion groups endomorphism theorem automorphism factors systems subgroup automorphisms endomorphisms sum proof morphism identity image situation thing subgroups series linear From Greg McCracken 0 likes 16 plays 0 Licence Type All rights reserved Date Created September 5th, 2022
Proof complexity of CSP - Azza Gayasin duration 24 minutes 24 seconds Proof complexity of CSP - Azza Gayasin Proof complexity of CSP - Azza Gayasin	Proof complexity of CSP - Azza Gayasin Mathematical Approaches to Lower Bounds: Complexity of Proofs and Computation Proof complexity of CSP by Azza Gaysin, The Charles University in Prague icms instance algebra solution relation csp algorithm linear factorise constraint domain homomorphism theta universe iteration theorem operation relations constraints step congruence From Iain Cms 0 likes 28 plays 0 Licence Type All rights reserved Date Created July 8th, 2022