Synopsis
For machine learning, both black-box and interpretable models are covered in this book, including neural network model, ensemble learning
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Modeling in Life Sciences and Ecology: Machine Learning and Dynamical Systems
Edité par
Springer, 2026
ISBN 10 : 9819510376
ISBN 13 : 9789819510375
Ancien ou d'occasion
Couverture rigide
Vendeur : ThriftBooks-Atlanta, AUSTELL, GA, Etats-Unis
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Hardcover. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. N° de réf. du vendeur G9819510376I3N00
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EUR 151,67
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Expédition nationale : Etats-Unis
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Modeling in Life Sciences and Ecology
Edité par
Springer Verlag GmbH, 2026
ISBN 10 : 9819510376
ISBN 13 : 9789819510375
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. N° de réf. du vendeur 2506180980
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Modeling in Life Sciences and Ecology
Edité par
Springer Nature Singapore Apr 2026, 2026
ISBN 10 : 9819510376
ISBN 13 : 9789819510375
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 the interest of seasoned ecologists and life scientists, beckoning them to explore the realm of modeling. The introduction and development of each section adhere to a practical problem-driven approach, aiming to address real-world issues. The focus is on addressing how to establish and evolve appropriate models based on practical problems or data.Throughout the book, the authors deliver rich content and diverse models. A detailed overview of the workflow for both machine learning and dynamical system modeling is provided, covering topics such as stability and bifurcation theory, fundamentals of machine learning algorithms, data processing, and visualization methods. Regarding dynamical systems, the authors encompass various types of models, including delay, diffusion, continuous, and discrete models. For machine learning, both black-box and interpretable models are covered in this book, including neural network model, ensemble learning model, SHAP, LIME, and more.Ecologists, life scientists, and applied mathematicians might find this book helpful. It can be also used as a textbook for both undergraduate and graduate students.This book is related to SDG 15: Life on Land 312 pp. Englisch. N° de réf. du vendeur 9789819510375
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Modeling in Life Sciences and Ecology
Edité par
Springer, Springer Feb 2026, 2026
ISBN 10 : 9819510376
ISBN 13 : 9789819510375
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 the interest of seasoned ecologists and life scientists, beckoning them to explore the realm of modeling. The introduction and development of each section adhere to a practical problem-driven approach, aiming to address real-world issues. The focus is on addressing how to establish and evolve appropriate models based on practical problems or data.Throughout the book, the authors deliver rich content and diverse models. A detailed overview of the workflow for both machine learning and dynamical system modeling is provided, covering topics such as stability and bifurcation theory, fundamentals of machine learning algorithms, data processing, and visualization methods. Regarding dynamical systems, the authors encompass various types of models, including delay, diffusion, continuous, and discrete models. For machine learning, both black-box and interpretable models are covered in this book, including neural network model, ensemble learning model, SHAP, LIME, and more.Ecologists, life scientists, and applied mathematicians might find this book helpful. It can be also used as a textbook for both undergraduate and graduate students.This book is related to SDG 15: Life on LandSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 324 pp. Englisch. N° de réf. du vendeur 9789819510375
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Modeling in Life Sciences and Ecology: Machine Learning & Dynamic System (Springer Asia Pacific Mathematics Series, 4)
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. N° de réf. du vendeur 26404596236
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Expédition nationale : Etats-Unis
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Modeling in Life Sciences and Ecology : Machine Learning and Dynamical Systems
Edité par
Springer Nature Singapore, 2026
ISBN 10 : 9819510376
ISBN 13 : 9789819510375
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 the interest of seasoned ecologists and life scientists, beckoning them to explore the realm of modeling. The introduction and development of each section adhere to a practical problem-driven approach, aiming to address real-world issues. The focus is on addressing how to establish and evolve appropriate models based on practical problems or data.Throughout the book, the authors deliver rich content and diverse models. A detailed overview of the workflow for both machine learning and dynamical system modeling is provided, covering topics such as stability and bifurcation theory, fundamentals of machine learning algorithms, data processing, and visualization methods. Regarding dynamical systems, the authors encompass various types of models, including delay, diffusion, continuous, and discrete models. For machine learning, both black-box and interpretable models are covered in this book, including neural network model, ensemble learning model, SHAP, LIME, and more.Ecologists, life scientists, and applied mathematicians might find this book helpful. It can be also used as a textbook for both undergraduate and graduate students.This book is related to SDG 15: Life on Land. N° de réf. du vendeur 9789819510375
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EUR 188,08
Expédition à EUR 63,15
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Modeling in Life Sciences and Ecology: Machine Learning & Dynamic System (Springer Asia Pacific Mathematics Series, 4)
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18404596230
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Modeling in Life Sciences and Ecology: Machine Learning & Dynamic System (Springer Asia Pacific Mathematics Series, 4)
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. Print on Demand. N° de réf. du vendeur 409606611
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