Objective Data Analysis and Machine Learning in the Physical Sciences

Catalog description

Techniques for extracting information from data as used in the physical science literature such as compositing, time series analysis, singular value decomposition, principle component analysis, and filtering. More recent techniques from machine learning such as artficial neural networks, self-organizing maps, and traceable Al will be presented.