Chemometrics & Machine Learning in Copenhagen Courses

Multi-Way Analysis - The Algorithm

Explore the alternating least squares algorithm for multi-way analysis, focusing on PARAFAC modeling in chemometrics. Learn about notation, potential problems, and alternative approaches.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

GIT in One Hour

Learn version control with GIT and collaborate effectively using platforms like GitHub and GitLab for code generation, testing, and sharing.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

ExpertPLS - A MATLAB Toolbox for Spectral Preprocessing Selection

Automated MATLAB toolbox for spectral preprocessing selection, quantifying noise and scatter effects to optimize PLS models efficiently and objectively, surpassing trial-and-error methods.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Generalized Tensor Decomposition - Utility for Data Analysis

Explore tensor decomposition methods beyond sum of squares error, including KL divergence and logistic odds, for improved data analysis in various fields like criminology and neuroscience.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

The Black Hole Effect in MCR with Raffaele Vitale

Exploring the black hole effect in Multivariate Curve Resolution, its impact on data analysis, and strategies to overcome this phenomenon in chemometrics and machine learning.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Dual-SPLS - A Versatile Approach Improving PLS with Lasso Shrinkage

Explore dual-sPLS, an innovative algorithm combining PLS and Lasso for improved variable selection and dimension reduction in high-dimensional analytical chemistry problems, offering enhanced accuracy and interpretability.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Chemometrics and Molecular Fingerprints to Enhance LC-MS/MS Spectral Match

Explore computational approaches to enhance LC-MS/MS spectral matching using chemometrics and deep learning for improved molecular structure prediction and compound identification.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Randomization - Speeding Up Huge Problems

Explore data reduction techniques for analyzing large datasets efficiently, focusing on randomized sub-sampling and local-rank approximations in PCA and sparse-PCA contexts.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Interpretable Machine Learning with an Eye for the Physics

Explore hybrid multivariate modeling combining theory-driven preprocessing, data-driven chemometrics, and machine learning to extract meaningful information from complex big data measurements.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Introduction to Chemometrics - Historical Lecture by Bruce Kowalski

Explore the foundations of chemometrics with Bruce Kowalski's 1991 lecture, covering key concepts like CLS, PLS, regression, and neural networks that remain relevant in modern data science.

• YouTube
• 1 hour 53 minutes
• Self-Paced
• Free Video

LASSO in One Hour

Discover sparse modeling techniques for linear regression, PLS, and PCA with the LASSO method in this concise introduction.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

ASCA in One Hour

Explore Anova Simultaneous Components Analysis (ASCA), a powerful tool for analyzing multivariate data from designed experiments, in this comprehensive one-hour overview.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Linear Regression with One X-Variable - Lecture 21

Explore simple linear regression using R, learning its powerful applications and detailed implementation in data analysis.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

PARADISe 5.7 Beta for Untargeted GC-MS Analysis

Explore the revamped PARADISe 5.7 beta for enhanced untargeted GCMS data analysis, offering improved information extraction and advanced features for comprehensive analytical insights.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Variable Selection in PLS_Toolbox - Part 3

Explore advanced techniques for variable selection in PLS_Toolbox, enhancing your data analysis skills and improving model performance.

• YouTube
• 28 minutes
• Self-Paced
• Free Video