Machine Learning in Meteorology and Climate Science
- Indbinding:
- Paperback
- Sideantal:
- 46
- Udgivet:
- 7. august 2023
- Størrelse:
- 152x229x3 mm.
- Vægt:
- 77 g.
- 2-3 uger.
- 11. december 2024
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
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Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Machine Learning in Meteorology and Climate Science
Unraveling the Skies: Machine Learning in Meteorology and Climate Science is an exclusive report that brings to light an unusual partnership - the one between the typically high-tech fields of meteorology, climate science, and machine learning.
In this comprehensive Special Report, author Zoe Adams deciphers the intersection of these complex domains in a way that is captivating, yet accessible. The journey begins with the basic concepts, gradually revealing how machine learning techniques are being employed to heighten our understanding and prediction of weather patterns and climate change.
Delve deeper to discover how machine learning contributes to:
Refining weather forecasting methodologiesProviding insightful climate change projectionsImproving disaster response mechanismsZoe's engaging narrative manages to untangle the often mystic world of machine learning and climate science without leaning on too much technical jargon, making it a perfect read for both the weather enthusiast and the tech-curious reader. By the end of the report, you will view the interplay of data, algorithms, and atmospheric phenomena with a newfound appreciation.
Get your copy today and embark on this compelling scientific voyage!
In this comprehensive Special Report, author Zoe Adams deciphers the intersection of these complex domains in a way that is captivating, yet accessible. The journey begins with the basic concepts, gradually revealing how machine learning techniques are being employed to heighten our understanding and prediction of weather patterns and climate change.
Delve deeper to discover how machine learning contributes to:
Refining weather forecasting methodologiesProviding insightful climate change projectionsImproving disaster response mechanismsZoe's engaging narrative manages to untangle the often mystic world of machine learning and climate science without leaning on too much technical jargon, making it a perfect read for both the weather enthusiast and the tech-curious reader. By the end of the report, you will view the interplay of data, algorithms, and atmospheric phenomena with a newfound appreciation.
Get your copy today and embark on this compelling scientific voyage!
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