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Integrating Data Science and Earth Science: Challenges and Solutions

Bouwer, Laurens M ; Dransch, Doris ; Ruhnke, Roland ; Rechid, Diana ; Frickenhaus, Stephan ; Greinert, Jens Greinert, Jens ; Frickenhaus, Stephan ; Dransch, Doris ; Rechid, Diana ; Ruhnke, Roland ; Bouwer, Laurens M

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Título:
Integrating Data Science and Earth Science: Challenges and Solutions
Autor: Bouwer, Laurens M ; Dransch, Doris ; Ruhnke, Roland ; Rechid, Diana ; Frickenhaus, Stephan ; Greinert, Jens
Greinert, Jens ; Frickenhaus, Stephan ; Dransch, Doris ; Rechid, Diana ; Ruhnke, Roland ; Bouwer, Laurens M
Assuntos: Algorithms & data structures ; Artificial intelligence ; Artificial intelligence—Data processing ; Book Industry Communication ; Computational data exploration ; Computer programming / software development ; Computer science ; Computing & information technology ; Digital Earth ; Earth sciences ; Earth sciences, geography, environment, planning ; Machine learning ; Mathematics ; Mathematics & science ; Probability & statistics ; SMART monitoring ; Statistics ; Visual data exploration
Descrição: This open access book presents the results of three years collaboration between earth scientists and data scientist, in developing and applying data science methods for scientific discovery. The book will be highly beneficial for other researchers at senior and graduate level, interested in applying visual data exploration, computational approaches and scientifc workflows.
Títulos relacionados: SpringerBriefs in Earth System Sciences
Editor: Cham: Springer Nature
Data de criação/publicação: 2022
Formato: 148
Idioma: Inglês

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