Search for tag: "linear"

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.

From  Stefano Coretta 0 likes 9 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 5 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 25 plays 0  

How to get started with data

for 'The Power of Data in Farm Animal Practice' Course Course website: https://edin.ac/farm-data

From  Charlotte Gresham 0 likes 41 plays 0  

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…

From  Joe Burchell 0 likes 83 plays 0  

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…

From  Cerys Ophelia Jane Jenkins 0 likes 29 plays 0  

AML: Non-Linear Dimensionality Reduction - Visualisation

Applied Machine Learning - INFR11211 AML: Non-Linear Dimensionality Reduction - Visualisation Part 2/2

From  Siddharth N 1 likes 367 plays 0  

AML: Non-Linear Dimensionality Reduction - Extending Linear Methods

Applied Machine Learning - INFR11211 AML: Non-Linear Dimensionality Reduction - Extending Linear Methods Part 1/2

From  Siddharth N 0 likes 369 plays 0  

AML: Generalisation - What is it?

Applied Machine Learning - INFR11211 AML: Generalisation - What is it? Part 1/3

From  Siddharth N 3 likes 385 plays 0  

AML: Optimisation - ML Optimisation

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

From  Siddharth N 0 likes 450 plays 0  

AML: Exploratory Data Analysis - PCA Examples

Applied Machine Learning - INFR11211 AML: Exploratory Data Analysis - PCA Examples Part 3/3

From  Siddharth N 2 likes 476 plays 0  

AML: Linear Regression - Nonlinear Regression

Applied Machine Learning - INFR11211 Linear Regression - Nonlinear Regression Part 3/3

From  Oisin Mac Aodha 2 likes 457 plays

AML: Linear Regression - Fitting Regression Models

Applied Machine Learning - INFR11211 Linear Regression - Fitting Regression Models Part 2/3

From  Oisin Mac Aodha 1 likes 511 plays

AML: Linear Regression - Introduction to Regression

Applied Machine Learning - INFR11211 Introduction to Regression Part 1/3

From  Oisin Mac Aodha 0 likes 491 plays

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

From  Greg McCracken 0 likes 15 plays 0  

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

From  Iain Cms 0 likes 26 plays 0