Sun ziheng (10 Ergebnisse)

hardcover. Zustand: Very Good.

Rústica. Zustand: New. Zustand des Schutzumschlags: Nuevo. 01. LIBRO.

Zustand: Nuevo. Artificial intelligence in earth science editado por Elsevier uk.

Taschenbuch. Zustand: Neu. Actionable Science of Global Environment Change | From Big Data to Practical Research | Ziheng Sun | Taschenbuch | vi | Englisch | 2024 | Springer | EAN 9783031417603 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 400 | Sprache: Englisch | Produktart: Bücher | Chapter 1: What is "Actionable" Science for Climate and Environment.- Chapter 2: Data Foundation for Actionable Science.- Chapter 3: Technology Landscape for Making Climate and Environmental Science "Actionable".- Chapter 4: Actionable Science for Greenhouse Gas Emission Reduction.- Chapter 5: Actionable Science for Hurricanes.- Chapter 6: Actionable Science for Wildfire Response.- Chapter 7: Actionable Science for Sea Level Rising.- Chapter 8: Actionable Science for Irrigation.- Chapter 9: Actionable Science for Snow Monitoring and Response.- Chapter 10: Towards more actionable vulnerability indices for Global Environmental Change.- Chapter 11: Actionable Science in Environmental Health.- Chapter 12: Actionable AI for Climate and Environment.- Chapter 13: Actionable Environmental Science through Social Media Platforms.- Chapter 14: Ethics and Accountability of Science in Action.…

Zustand: New.

Hardcover. Zustand: Brand New. 398 pages. 9.25x6.10x1.02 inches. In Stock.

Zustand: As New. Unread book in perfect condition.

Zustand: New. Provides practical, step-by-step guides for Earth Scientists who are interested in implementing AI techniques in their work Features case studies to show real-world examples of techniques described in the book Includes additional .

Taschenbuch. Zustand: Neu. Neuware - Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges provides a comprehensive, step-by-step guide to AI workflows for solving problems in Earth Science. The book focuses on the most challenging problems in applying AI in Earth system sciences, such as training data preparation, model selection, hyperparameter tuning, model structure optimization, spatiotemporal generalization, transforming model results into products, and explaining trained models. In addition, it provides full-stack workflow tutorials to help walk readers through the whole process, regardless of previous AI experience. The book tackles the complexity of Earth system problems in AI engineering, fully guiding geoscientists who are planning to implement AI in their daily work.…