Language: English
Published by World Scientific Publishing, 2026
ISBN 10: 9819817730 ISBN 13: 9789819817733
Seller: suffolkbooks, Center moriches, NY, U.S.A.
hardcover. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
Condition: New.
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2026
ISBN 10: 9819817730 ISBN 13: 9789819817733
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. This book offers a deep dive into the investment and business implications of climate change, uncovering both the emerging opportunities and pressing challenges. Through a powerful lens of big data analytics, it guides readers across four critical pillars of climate finance: climate data, indices, pricing, and reporting and engagement.The book equips readers with a comprehensive analytics toolkit by harnessing cutting-edge tools - large language models, generative AI, statistical inference in machine learning, optimization techniques, and advanced visualization methods. With a strong emphasis on practical application, it blends clear explanations, real-world case studies, and actionable insights to help investors, businesses, and financial professionals make informed decisions in a rapidly evolving field.Bridging the gap between theory and practice, this book stands as an indispensable resource for practitioners seeking to integrate data-driven strategies into climate finance and position themselves at the forefront of sustainable investing.
Language: English
Published by World Scientific Publishing Co Pte Ltd, 2026
ISBN 10: 9819817730 ISBN 13: 9789819817733
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 280 pages. 3.94x3.94x2.36 inches. In Stock.
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2026
ISBN 10: 9819817730 ISBN 13: 9789819817733
Seller: Rarewaves.com UK, London, United Kingdom
Hardback. Condition: New. This book offers a deep dive into the investment and business implications of climate change, uncovering both the emerging opportunities and pressing challenges. Through a powerful lens of big data analytics, it guides readers across four critical pillars of climate finance: climate data, indices, pricing, and reporting and engagement.The book equips readers with a comprehensive analytics toolkit by harnessing cutting-edge tools - large language models, generative AI, statistical inference in machine learning, optimization techniques, and advanced visualization methods. With a strong emphasis on practical application, it blends clear explanations, real-world case studies, and actionable insights to help investors, businesses, and financial professionals make informed decisions in a rapidly evolving field.Bridging the gap between theory and practice, this book stands as an indispensable resource for practitioners seeking to integrate data-driven strategies into climate finance and position themselves at the forefront of sustainable investing.