Machine Learning for Professionals

This session provides a practical introduction to machine learning for data professionals, focusing on applications rather than deep mathematical or coding theory. Topics include the concepts of dimensionality reduction, as well as an overview of supervised and unsupervised machine learning models, specifically comparing PCA and OPLS. Participants will gain an understanding of how to integrate these methods into real-world analytical workflows to handle complex datasets.