method improvements and applications approach of machine learning in geochemistry

In the field of geochemistry, the use of machine learning is increasingly important for analyzing and solving complex problems. traditional statistical methods are often unable to reveal the hidden meaning of geological data due to their complex and random nature. however, the application of machine learning techniques in the field of geochemistry presents significant challenges, especially regarding the reliability and effectiveness of the methodologies used, which require a greater emphasis on methodological research and strategic research.the study will examine the fundamentals of geochemistry and machine learning, as well as methodologies related to data preprocessing and various techniques, including supervised learning, unsupervised learning, and deep learning. in addition, it will evaluate model evaluation and validation processes and investigate applications of machine learning in the field of geochemistry, including mineral exploration and geochemical mapping.