Hsieh william w (57 risultati)

Condizione: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

Condizione: very_good.

xiv, 305, [1] pages. Hardcover. Dust jacket lightly rubbed with slight bumping at edges. Blue boards. Interior pages are bright and clean. Binding remains some crispness. With Acknowledgements, Introduction by editor Caroline E. Janney, thirteen figures, three maps, Bibliographic Essay, Contributors, and Index. Features nine chapters: "Grant finally takes command: how the race to Appomattox was won" by William W. Bergen; "We can keep all the Yankees back that they can send: morale among Hood's Texas Brigade's soldiers and their families, 1864-1865" by Susannah J. Ural; "A whole lot of blame to go around: the Confederate collapse at Five Forks" by Peter S. Carmichael; "Lucky inspiration: Philip Sheridan's uncertain road to triumph with the Cavalry of the Army of the Potomac" by Wayne Wei-Siang Hsieh; "Lee, Breckinridge, and Campbell: the Confederate peacemakers of 1865" by William C. Davis; "Many valuable records and documents were lost to history: the destruction of Confederate military records during the Appomattox Campaign" by Keith Bohannon; "We were not paroled: the surrenders of Lee's men beyond Appomattox Court House" by Caroline E. Janney; "Sheridan's personal memoirs and the Appomattox Campaign" by Stephen Cushman; "The last hour of the slaveholders' rebellion: African American discourse on Lee's surrender" by Elizabeth R. Varon. ISBN 9781469640761. …

Hardcover. Condizione: Like New. First Edition. Hardback book in nearly new condition: firm and square with strong joints. 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.…

Condizione: New.

hardcover. Condizione: Very Good. Cover and edges may have some wear.

Paperback. Condizione: New. 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 applications in the environmental sciences. Due to their powerful nonlinear modelling capability, machine learning methods today are used in satellite data processing, general circulation models(GCM), weather and climate prediction, air quality forecasting, analysis and modelling of environmental data, oceanographic and hydrological forecasting, ecological modelling, and monitoring of snow, ice and forests. The book includes end-of-chapter review questions and an appendix listing websites for downloading computer code and data sources. A resources website contains datasets for exercises, and password-protected solutions are available. The book is suitable for first-year graduate students and advanced undergraduates. It is also valuable for researchers and practitioners in environmental sciences interested in applying these new methods to their own work.…

Condizione: New. In English.

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condizione: New. pp. 364 Reprint edition NO-PA16APR2015-KAP.

Paperback. Condizione: Brand New. reprint edition. 349 pages. 9.50x6.75x1.00 inches. In Stock.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condizione: New.

Condizione: New. 2023. New. hardcover. . . . . .

Condizione: New.

Condizione: Used. pp. xiii + 349.

Condizione: New. 2018. Reprint. Paperback. . . . . . Books ship from the US and Ireland.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 applications in the environmental sciences. Due to their powerful nonlinear modelling capability, machine learning methods today are used in satellite data processing, general circulation models(GCM), weather and climate prediction, air quality forecasting, analysis and modelling of environmental data, oceanographic and hydrological forecasting, ecological modelling, and monitoring of snow, ice and forests. The book includes end-of-chapter review questions and an appendix listing websites for downloading computer code and data sources. A resources website contains datasets for exercises, and password-protected solutions are available. The book is suitable for first-year graduate students and advanced undergraduates. It is also valuable for researchers and practitioners in environmental sciences interested in applying these new methods to their own work.…

Condizione: Used. pp. xiii + 349 Illus.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Condizione: Used. pp. xiii + 349.

Hardcover. Condizione: Brand New. 500 pages. 9.69x6.69x1.34 inches. In Stock.

Hardback. Condizione: New. 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.…

Condizione: New. 2018. Reprint. Paperback. . . . . .

Condizione: New. 2023. New. hardcover. . . . . . Books ship from the US and Ireland.