Introduction to Environmental Data Science
 Vår pris
 1013,
(Innbundet)
Fri frakt!
Leveringstid:
Sendes innen 7 virkedager
(Innbundet)
Fri frakt!
Leveringstid:
Sendes innen 7 virkedager
 FAKTA

Utgitt:
2023
Forlag: Cambridge University Press
Innbinding: Innbundet
Språk: Engelsk
ISBN: 9781107065550
Format: 25 x 18 cm
 KATEGORIER:
 VURDERING

Gi vurdering
Les vurderinger
«'Dr. Hsieh is one of the pioneers of the development of machine learning for the environmental sciences including the development of methods such as nonlinear principal component analysis to provide insights into the ENSO dynamic. Dr. Hsieh has a deep understanding of the foundations of statistics, machine learning, and environmental processes that he is sharing in this timely and comprehensive work with many recent references. It will no doubt become an indispensable reference for our field. I plan to use the book for my graduate environmental forecasting class and recommend the book for a selfguided progression or as a comprehensive reference.' Philippe Tissot, Texas A&M UniversityCorpus Christi»
«'As a new wave of machine learning becomes part of our toolbox for environmental science, this book is both a guide to the latest developments and a comprehensive textbook on statistics and data science. Almost everything is covered, from hypothesis testing to convolutional neural networks. The book is enjoyable to read, well explained and economically written, so it will probably become the first place I'll go to read up on any of these topics.' Alan Geer, European Centre for MediumRange Weather Forecasts (ECMWF)»
«'William Hsieh has been one of the 'founding fathers' of an exciting new field of using machine learning (ML) in the environmental sciences. His new book provides readers with a solid introduction to the statistical foundation of ML and various ML techniques, as well as with the fundamentals of data science. The unique combination of solid mathematical and statistical backgrounds with modern applications of ML tools in the environmental sciences … is an important distinguishing feature of this book. The broad range of topics covered in this book makes it an invaluable reference and guide for researchers and graduate students working in this and related fields.' Vladimir Krasnopolsky, Center for Weather and Climate Prediction, NOAA»
«'There is a need for a forwardlooking text on environmental data science and William Hsieh's text succeeds in filling the gap. This comprehensive text covers basic to advanced material ranging from timeless statistical techniques to some of the latest machine learning approaches. His refreshingly engaging style is written to be understood and complemented by a plethora of expressive visuals. Hsieh's treatment of nonlinearity is cuttingedge and the final chapter examines ways to combine machine learning with physics. This text is destined to become a modern classic.' Sue Ellen Haupt, National Center for Atmospheric Research»