The Cage of Covariance
Offered By: Chemometrics & Machine Learning in Copenhagen via YouTube
Course Description
Overview
Explore the intricacies of handling correlated variables in this 44-minute talk by Åsmund Rinnan. Delve into the concept of covariance, its implications, and effective strategies for managing correlated data. Learn about various techniques including orthogonalization, orthogonal signal correction, and direct orthogonalization. Examine real-world applications through example papers, with a focus on total fatty acids. Discover the importance of predictive components and data summarization in dealing with covariance. Gain valuable insights into this crucial aspect of chemometrics and machine learning, despite some audio quality issues.
Syllabus
Intro
Setting the stage
Correlation
Example papers
Total fatty acids
Orthogonalization
Methods
Orthogonal signal correction
Direct orthogonalization
OPI
Predictive component
Data summary
Taught by
Chemometrics & Machine Learning in Copenhagen
Tags
Related Courses
Chemoocs-advanced : chimiométrie avancée, validation de méthodesAgreenium via France Université Numerique Chemometrics in Air Pollution
University of Malaya via FutureLearn Statistical Inference of Omics Data with Variable-Selection
Chemometrics & Machine Learning in Copenhagen via YouTube Preprocessing Revisited
Chemometrics & Machine Learning in Copenhagen via YouTube Classical and Generalized Least Squares
Chemometrics & Machine Learning in Copenhagen via YouTube