Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: AMM Books, Gillingham, KENT, Regno Unito
EUR 22,28
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: Very Good. In stock ready to dispatch from the UK.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: Textbooks_Source, Columbia, MO, U.S.A.
paperback. Condizione: New. New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: Prior Books Ltd, Cheltenham, Regno Unito
Prima edizione
EUR 26,22
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Like New. First Edition. In nearly new condition: firm and square with strong joints, no creases. Just a few hardly noticeable rubs or very mild bumps. Hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a very nice book in great condition, now offered for sale at a reasonable price.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
EUR 48,17
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: Speedyhen LLC, Hialeah, FL, U.S.A.
Condizione: NEW.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 48,35
Quantità: 9 disponibili
Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 65,41
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. New. Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, compositional, geospatial and space-time methods. Step-by-step instructions are provided, enabling readers to easily follow the protocols for each method, solve their geoscientific problems and make interpretations. With an emphasis on intuitive reasoning throughout, students are encouraged to develop their understanding without the need for complex mathematics, making this the perfect text for those with limited mathematical or coding experience. Students can test their skills with homework exercises that focus on data scientific analysis, modeling, and prediction problems, and through the use of supplemental Python notebooks that can be applied to real datasets worldwide.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, compositional, geospatial and space-time methods. Step-by-step instructions are provided, enabling readers to easily follow the protocols for each method, solve their geoscientific problems and make interpretations. With an emphasis on intuitive reasoning throughout, students are encouraged to develop their understanding without the need for complex mathematics, making this the perfect text for those with limited mathematical or coding experience. Students can test their skills with homework exercises that focus on data scientific analysis, modeling, and prediction problems, and through the use of supplemental Python notebooks that can be applied to real datasets worldwide. An accessible text that provides students and instructors with the data science foundations to address earth science questions using real-world case studies. Focusing on intuitive reasoning, students are encouraged to develop their understanding through exercises utilizing Python notebooks and real datasets. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 48,16
Quantità: 8 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201417 ISBN 13: 9781009201414
Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Very Good.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: Majestic Books, Hounslow, Regno Unito
EUR 61,05
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: Revaluation Books, Exeter, Regno Unito
EUR 55,33
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 250 pages. 9.96x7.99x0.71 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press 2023-08-17, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: Chiron Media, Wallingford, Regno Unito
EUR 51,81
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 52,81
Quantità: 8 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 59,17
Quantità: 8 disponibili
Aggiungi al carrelloCondizione: New. 2023. New. paperback. . . . . .
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2023. New. paperback. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: Revaluation Books, Exeter, Regno Unito
EUR 81,53
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 250 pages. 9.96x7.99x0.71 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: Speedyhen, Hertfordshire, Regno Unito
EUR 48,89
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: NEW.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 91,32
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, compositional, geospatial and space-time methods. Step-by-step instructions are provided, enabling readers to easily follow the protocols for each method, solve their geoscientific problems and make interpretations. With an emphasis on intuitive reasoning throughout, students are encouraged to develop their understanding without the need for complex mathematics, making this the perfect text for those with limited mathematical or coding experience. Students can test their skills with homework exercises that focus on data scientific analysis, modeling, and prediction problems, and through the use of supplemental Python notebooks that can be applied to real datasets worldwide. An accessible text that provides students and instructors with the data science foundations to address earth science questions using real-world case studies. Focusing on intuitive reasoning, students are encouraged to develop their understanding through exercises utilizing Python notebooks and real datasets. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Condizione: like_new. Fast Free Shipping â" Excellent condition book with clean cover and pages. Barely handled, with minimal wear. An outstanding copy, close to enjoy!
Lingua: Inglese
Editore: Cambridge University Press, GB, 2023
ISBN 10: 1009201409 ISBN 13: 9781009201407
Da: Rarewaves.com UK, London, Regno Unito
EUR 60,57
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. New. Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, compositional, geospatial and space-time methods. Step-by-step instructions are provided, enabling readers to easily follow the protocols for each method, solve their geoscientific problems and make interpretations. With an emphasis on intuitive reasoning throughout, students are encouraged to develop their understanding without the need for complex mathematics, making this the perfect text for those with limited mathematical or coding experience. Students can test their skills with homework exercises that focus on data scientific analysis, modeling, and prediction problems, and through the use of supplemental Python notebooks that can be applied to real datasets worldwide.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201417 ISBN 13: 9781009201414
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 140,77
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201417 ISBN 13: 9781009201414
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201417 ISBN 13: 9781009201414
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 133,81
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201417 ISBN 13: 9781009201414
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 130,97
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201417 ISBN 13: 9781009201414
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 141,78
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. 2023. New. hardcover. . . . . .
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009201417 ISBN 13: 9781009201414
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 148,35
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2023
ISBN 10: 1009201417 ISBN 13: 9781009201414
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 174,29
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, compositional, geospatial and space-time methods. Step-by-step instructions are provided, enabling readers to easily follow the protocols for each method, solve their geoscientific problems and make interpretations. With an emphasis on intuitive reasoning throughout, students are encouraged to develop their understanding without the need for complex mathematics, making this the perfect text for those with limited mathematical or coding experience. Students can test their skills with homework exercises that focus on data scientific analysis, modeling, and prediction problems, and through the use of supplemental Python notebooks that can be applied to real datasets worldwide.