Learning

Machine Learning for Petrological Classification and Analysis

Introduction to Petrology → Case Study: Mineral Identification in Thin Sections

This learning path equips graduate students in petrology with the knowledge and skills to apply machine learning to rock classification and analysis. It covers foundational programming, essential machine learning concepts, petrological data types, and practical applications in image analysis and geochemical data mining. The path emphasizes hands-on learning through projects and assessments.