Chemometrics & Machine Learning in Copenhagen Courses

Basic Definition of Multivariate Data Analysis - Chemometrics

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Explore fundamental concepts of multivariate data analysis and chemometrics, including univariate vs. multivariate data, latent variables, and their applications in analytical chemistry.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Statistical Inference of Omics Data with Variable-Selection

Learn statistical inference techniques for omics data analysis, focusing on variable selection methods to enhance spectral matching and predict molecular structures from LC-MS/MS spectra using chemometrics and deep learning approaches.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Joint Tensor Alignment and Coupled Factorization

Explore joint tensor alignment and coupled factorization for analyzing coupled datasets with unknown entity correspondence, outperforming multi-stage approaches in data mining applications.

• YouTube
• 50 minutes
• On-Demand
• Free Video

Anomaly Detection in Hyperspectral Imaging - Neal Gallagher

Explore advanced anomaly detection techniques in hyperspectral imaging, focusing on GLS, ELS, and WPCA methods for improved sensitivity and selectivity in detecting minor signals within complex mixtures.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Preprocessing Revisited

Explore new developments in chemometric preprocessing, including multi-block strategies and Variable Sorting for Normalization, to reduce unwanted variability in experimental data.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Classical and Generalized Least Squares

Explore advanced least squares techniques for analytical chemistry, including applications in microplastics detection and spectral analysis of biological samples.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Multiblock Data Fusion

Explore multiblock data analysis techniques for integrating diverse data sources in natural and life sciences, covering key methods, applications, and interpretation strategies.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Partial Least Squares for Nonlinear Regression

Explore dimension reduction in PLS regression for nonlinear relationships, challenging traditional views and proposing new insights into PLS-like methods for predictive modeling.

• YouTube
• 32 minutes
• On-Demand
• Free Video

The Cage of Covariance

Explore strategies for handling correlated variables in data analysis, including orthogonalization techniques and predictive component methods.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Fusing Calibration Models

Explore techniques for merging multiple calibration models to improve efficiency and robustness in quality control, with a focus on balancing simplicity and prediction accuracy.

• YouTube
• 36 minutes
• On-Demand
• Free Video

Getting Machine Learning Models into Use

Practical guide to deploying bioinformatics machine learning models, focusing on scalability, user-friendliness, data security, and maintainability for real-world impact.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Fluorescence in One Hour

Explore fluorescence spectroscopy's principles, applications, and limitations. Learn about factors affecting signals, measurement techniques, and data analysis methods for sensitive compound detection.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Preprocessing - Warping Data

Learn about Correlation Optimized Warping (COW) for aligning misaligned data, including its principles, parameters, and applications in bilinear models and data preprocessing.

• YouTube
• 22 minutes
• On-Demand
• Free Video

PLS Number of Components

Learn validation techniques for PLS models, including outlier detection, error measures, cross-validation, and practical tips for selecting the optimal number of components.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Oneway ANOVA

Explore variation splitting using ANOVA, covering model specification, ANOVA tables, and practical applications in food science data analysis.

• YouTube
• 21 minutes
• On-Demand
• Free Video