"Uncertainty in Geosciences covers more advanced analysis techniques, including visualization, periodicity, model uncertainty quantification, machine learning, and when these are all applicable towards the concept of uncertainty, the scientific method, and how uncertainty plays a role in discovery. This book provides the precursor knowledge to understanding machine learning techniques and takes a computational approach. While it does not explicitly cover machine learning, it provides a critical toolkit for students to fully understand, appreciate, and optimally use the latest machine learning advancements in data science. The long-range goal is to improve the quality of researcher methodology in scientific research."-- Provided by publisher.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.