Machine Learning for Planetary Science

Machine Learning for Planetary Science
Author :
Publisher : Elsevier
Total Pages : 234
Release :
ISBN-10 : 9780128187227
ISBN-13 : 0128187220
Rating : 4/5 (27 Downloads)

Book Synopsis Machine Learning for Planetary Science by : Joern Helbert

Download or read book Machine Learning for Planetary Science written by Joern Helbert and published by Elsevier. This book was released on 2022-03-22 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning for Planetary Science presents planetary scientists with a way to introduce machine learning into the research workflow as increasingly large nonlinear datasets are acquired from planetary exploration missions. The book explores research that leverages machine learning methods to enhance our scientific understanding of planetary data and serves as a guide for selecting the right methods and tools for solving a variety of everyday problems in planetary science using machine learning. Illustrating ways to employ machine learning in practice with case studies, the book is clearly organized into four parts to provide thorough context and easy navigation. The book covers a range of issues, from data analysis on the ground to data analysis onboard a spacecraft, and from prioritization of novel or interesting observations to enhanced missions planning. This book is therefore a key resource for planetary scientists working in data analysis, missions planning, and scientific observation. - Includes links to a code repository for sharing codes and examples, some of which include executable Jupyter notebook files that can serve as tutorials - Presents methods applicable to everyday problems faced by planetary scientists and sufficient for analyzing large datasets - Serves as a guide for selecting the right method and tools for applying machine learning to particular analysis problems - Utilizes case studies to illustrate how machine learning methods can be employed in practice


Machine Learning for Planetary Science Related Books

Machine Learning for Planetary Science
Language: en
Pages: 234
Authors: Joern Helbert
Categories: Science
Type: BOOK - Published: 2022-03-22 - Publisher: Elsevier

DOWNLOAD EBOOK

Machine Learning for Planetary Science presents planetary scientists with a way to introduce machine learning into the research workflow as increasingly large n
Machine Learning Techniques for Space Weather
Language: en
Pages: 454
Authors: Enrico Camporeale
Categories: Science
Type: BOOK - Published: 2018-05-31 - Publisher: Elsevier

DOWNLOAD EBOOK

Machine Learning Techniques for Space Weather provides a thorough and accessible presentation of machine learning techniques that can be employed by space weath
Machine Learning in Heliophysics
Language: en
Pages: 240
Authors: Thomas Berger
Categories: Science
Type: BOOK - Published: 2021-11-24 - Publisher: Frontiers Media SA

DOWNLOAD EBOOK

Machine Learning in Earth, Environmental and Planetary Sciences
Language: en
Pages: 390
Authors: Hossein Bonakdari
Categories: Science
Type: BOOK - Published: 2023-07-03 - Publisher: Elsevier

DOWNLOAD EBOOK

Machine Learning in Earth, Environmental and Planetary Sciences: Theoretical and Practical Applications is a practical guide on implementing different variety o
Machine Learning and Data Science in the Power Generation Industry
Language: en
Pages: 276
Authors: Patrick Bangert
Categories: Technology & Engineering
Type: BOOK - Published: 2021-01-14 - Publisher: Elsevier

DOWNLOAD EBOOK

Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented comp