Jingli Ren – författare
Visar alla böcker från författaren Jingli Ren. Handla med fri frakt och snabb leverans.
5 produkter
Mathematical Methods in Data Science
Häftad, 2023
2056 kr
Lägg i varukorg
Mathematical Methods in Data Science covers a broad range of mathematical tools used in data science, including calculus, linear algebra, optimization, network analysis, probability and differential equations. Based on the authors' recently published and previously unpublished results, this book …
Mathematical Methods in Data Science
E-bok, 2023
2927 kr
Lägg i varukorg
Mathematical Methods in Data Science covers a broad range of mathematical tools used in data science, including calculus, linear algebra, optimization, network analysis, probability and differential equations. Based on the authors'' recently published and previously unpublished results, this book …
Modeling in Life Sciences and Ecology
Machine Learning and Dynamical Systems
Av Jingli Ren, Yiwen Tao
Inbunden, 2026
1862 kr
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This book begins by exploring the fundamental concepts of dynamical systems and machine learning modeling, elucidating the workflow of these two modeling approaches. While primarily tailored as an introductory textbook for both undergraduate and graduate students, its broader aim is to captivate …
Modeling in Life Sciences and Ecology
Machine Learning and Dynamical Systems
Av Yiwen Tao, Jingli Ren
E-bok, 2026
2437 kr
Lägg i varukorg
This book begins by exploring the fundamental concepts of dynamical systems and machine learning modeling, elucidating the workflow of these two modeling approaches. While primarily tailored as an introductory textbook for both undergraduate and graduate students, its broader aim is to captivate …
CLIMATE FINANCE WITH BIG DATA ANALYTICS
Av Jingli Ren, Fan Jia m. fl.
Inbunden, 2026
1475 kr
Lägg i varukorg
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, …
