Advanced Multivariate Analysis Training Course

Source: CAMO Software, Inc.

June 15-16, 2016 | New Brunswick, NJ, United States

For many years now, Multivariate Analysis (MVA) has been used by spectroscopists, analytical chemists, process engineers and sensory scientists to find important relationships in complex data tables. Methods such as Principal Component Analysis (PCA) have been used for data mining and exploratory data analysis purposes, while methods such as Partial Least Squares (PLS) have been used for predicting difficult to measure properties of products ranging from pharmaceuticals, petrochemical and agricultural comodities.

Day 1

  • A short overview of PCA and PLS: Setting the scene
  • Some advanced data preprocessing options for spectroscopic and non-spectroscopic data
  • PCA in depth
  • PCA for Classification
  • An introduction to Principal Component Regression (PCR)

Day 2

  • PLS in depth
  • Multivariate Model Maintenance Roadmap
  • An Introduction to Support Vector Machines for Classification and Regression
  • Hierarchical Modelling for developing complete decision making systems
  • Conclusion and Summary