Introduction to Environmental Data Science (häftad)
Fler böcker inom
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
647
Utgivningsdatum
2023-03-23
Förlag
Cambridge University Press
Dimensioner
246 x 172 x 34 mm
Vikt
1339 g
Antal komponenter
1
ISBN
9781107065550

Introduction to Environmental Data Science

av William W Hsieh
Inbunden,  Engelska, 2023-03-23
841
Köp
Spara som favorit
  • Skickas från oss inom 7-10 vardagar.
  • Fri frakt över 249 kr för privatkunder i Sverige.
Finns även som
Statistical and machine learning methods have many applications in the environmental sciences, including prediction and data analysis in meteorology, hydrology and oceanography; pattern recognition for satellite images from remote sensing; management of agriculture and forests; assessment of climate change; and much more. With rapid advances in machine learning in the last decade, this book provides an urgently needed, comprehensive guide to machine learning and statistics for students and researchers interested in environmental data science. It includes intuitive explanations covering the relevant background mathematics, with examples drawn from the environmental sciences. A broad range of topics is covered, including correlation, regression, classification, clustering, neural networks, random forests, boosting, kernel methods, evolutionary algorithms and deep learning, as well as the recent merging of machine learning and physics. End-of-chapter exercises allow readers to develop their problem-solving skills, and online datasets allow readers to practise analysis of real data.

Passar bra ihop

  1. Introduction to Environmental Data Science
  2. +
  3. Culture Map

De som köpt den här boken har ofta också köpt Culture Map av Erin Meyer (häftad).

Köp båda 2 för 1057 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av William W Hsieh

  • Machine Learning Methods in the Environmental Sciences

    Machine Learning Methods in the Environmental Sciences

    William W Hsieh

    Machine learning methods originated from artificial intelligence and are now used in various fields in environmental sciences today. This is the first single-authored textbook providing a unified treatment of machine learning methods and their app...

    570
    Ladda ned
    Laddas ned direkt

Övrig information

William W. Hsieh is a professor emeritus in the Department of Earth, Ocean and Atmospheric Sciences at the University of British Columbia. Known as a pioneer in introducing machine learning to environmental science, he has written over 100 peer-reviewed journal papers on climate variability, machine learning, atmospheric science, oceanography, hydrology, and agricultural science. He is the author of the book Machine Learning Methods in the Environmental Sciences ( Cambridge University Press, 2009), the first single-authored textbook on machine learning for environmental scientists. Currently retired in Victoria, British Columbia, he enjoys growing organic vegetables.

Du kanske gillar