Isbn: 9789819817733 - climate finance with big data analytics (13 risultati)

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: 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.…

Hardcover. Condizione: Brand New. 280 pages. 3.94x3.94x2.36 inches. In Stock.

Hardback. Condizione: 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.…

Hardcover. Condizione: new. Hardcover. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…