Search for tag: "regression"

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 1 likes 71 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 31 plays 0  

AML: Model Selection - Direct Comparison

Applied Machine Learning - INFR11211 AML: Model Selection - Direct Comparison Part 1/2

From  Siddharth N 0 likes 390 plays 0  

AML: Evaluation - Regression

Applied Machine Learning - INFR11211 AML: Evaluation - Regression Part 2/2

From  Siddharth N 0 likes 400 plays 0  

AML: Optimisation - ML Optimisation

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

From  Siddharth N 0 likes 452 plays 0  

AML: Logistic Regression - Learning Logistic Regression

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

From  Oisin Mac Aodha 0 likes 458 plays

AML: Logistic Regression - Logistic Regression

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

From  Oisin Mac Aodha 2 likes 561 plays

AML: Logistic Regression - Linear Classification

Applied Machine Learning - INFR11211 AML: Logistic Regression - Linear Classification Part 1/3

From  Oisin Mac Aodha 0 likes 521 plays

AML: Linear Regression - Nonlinear Regression

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

From  Oisin Mac Aodha 2 likes 458 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 512 plays

AML: Linear Regression - Introduction to Regression

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

From  Oisin Mac Aodha 0 likes 495 plays

HealthyR demo: finalfit.org

Data and code at: https://github.com/SurgicalInformatics/healthyr_demos

From  Riinu Pius 0 likes 273 plays 0  

Unlinked Monotone Regression - Cecile Durot

Structural Breaks and Shape Constraints Unlinked Monotone Regression Cecile Durot (Université Paris Nanterre) 19 May 2022

From  Iain Cms 0 likes 56 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 58 plays 0  

MARS via LASSO - Aditya Guntuboyina

Structural Breaks and Shape Constraints MARS via LASSO Aditya Guntuboyina (University of California, Berkeley) 17 May 2022

From  Iain Cms 0 likes 58 plays 0  

Data-Driven Adjustments for Confidence Intervals and Proximal Representations in Single-Index Models - Pierre Bellec

Structural Breaks and shape Constraints Data-Driven Adjustments for Confidence Intervals and Proximal Representations in Single-Index Models Pierre Bellec (Rutgers University) 17 May 2022

From  Iain Cms 0 likes 13 plays 0