Hsieh william (36 Ergebnisse)

Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: 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.…

Hardcover. Zustand: 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.…

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

Zustand: New. In English.

Zustand: 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.

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

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

Taschenbuch. Zustand: 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.…

Zustand: Used. pp. xiii + 349 Illus.

Hardcover. Zustand: Very Good. Zustand des Schutzumschlags: Very Good. First Edition. 3 volumes. lxxviii, 802; lxxv, 801; lxix, 531 pages. all indexed. A heavy multi-volume set. Mildly ex-library, seem sunread, very clean. Different ISBN numbers: Vol 1: 0804707510; Vol 2: 0804707529; Vol 3: 0804707537. …

Zustand: New. In English.

Zustand: Used. pp. xiii + 349.

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

hardcover. Zustand: Gut. 601 Seiten; 9789400764361.3 Gewicht in Gramm: 2.

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

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Zustand: New. In English.

Zustand: New. &Uumlber den AutorWilliam 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.

Zustand: New. In English.

Kartoniert / Broschiert. Zustand: New.

Gebunden. Zustand: New.

Zustand: New. In English.

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

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers results from the comparative 'Teacher Education and Development Study - Learning to Teach Mathematics (TEDS-M)'. Carried out under the auspices of the International Association for the Evaluation of Educational Achievement (IEA), more than 23,000 mathematics teachers at the primary and lower secondary levels from 16 countries were tested at the end of the teacher education on their mathematics and mathematics pedagogical content knowledge as well as surveyed on their beliefs and their opportunities to learn. In addition, representative samples of teacher educators and training institutions were surveyed. TEDS-M analyses in particular the relationship between teacher education policies, practices and outcomes.…

Zustand: New. A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences. Num Pages: 364 pages, 116 b/w illus. 48 exercises. BIC Classification: RN; UYQM; UYQN. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 256 x 182 x 25. Weight in Grams: 866. . 2009. 1st Edition. hardcover. . . . . Books ship from the US and Ireland. …

Taschenbuch. Zustand: Neu. International Perspectives on Teacher Knowledge, Beliefs and Opportunities to Learn | TEDS-M Results | Sigrid Blömeke (u. a.) | Taschenbuch | Advances in Mathematics Education | ix | Englisch | 2016 | Springer | EAN 9789402407013 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers results from the comparative 'Teacher Education and Development Study - Learning to Teach Mathematics (TEDS-M)'. Carried out under the auspices of the International Association for the Evaluation of Educational Achievement (IEA), more than 23,000 mathematics teachers at the primary and lower secondary levels from 16 countries were tested at the end of the teacher education on their mathematics and mathematics pedagogical content knowledge as well as surveyed on their beliefs and their opportunities to learn. In addition, representative samples of teacher educators and training institutions were surveyed. TEDS-M analyses in particular the relationship between teacher education policies, practices and outcomes.…