Articoli correlati a Data Science and Predictive Analytics: Biomedical and...
- EditoreSpringer-Nature New York Inc
- Data di pubblicazione2023
- ISBN 10 3031174828
- ISBN 13 9783031174827
- RilegaturaCopertina rigida
- LinguaInglese
- Numero edizione2
- Numero di pagine952
Compra nuovo
Visualizza questo articolo
EUR 95,53
GRATIS per la spedizione da U.S.A. a Italia
Destinazione, tempi e costi
Risultati della ricerca per Data Science and Predictive Analytics: Biomedical and...
Foto dell'editore
Data Science and Predictive Analytics
Da: Basi6 International, Irving, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Codice articolo ABEJUNE24-14000
Quantità: 1 disponibili
Foto dell'editore
Data Science and Predictive Analytics
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Codice articolo ABNR-27771
Quantità: 1 disponibili
Foto dell'editore
Data Science and Predictive Analytics
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. Codice articolo 26395354277
Quantità: 2 disponibili
Foto dell'editore
Data Science and Predictive Analytics
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 18395354287
Quantità: 4 disponibili
Immagini fornite dal venditore
Data Science and Predictive Analytics
Editore:
Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031174828
ISBN 13: 9783031174827
Nuovo
Rilegato
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This textbook integrates important mathematical foundations, efficient computational algorithms, applied statistical inference techniques, and cutting-edge machine learning approaches to address a wide range of crucial biomedical informatics, health analyti. Codice articolo 693974544
Quantità: Più di 20 disponibili
Foto dell'editore
Data Science and Predictive Analytics
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 401022842
Quantità: 2 disponibili
Immagini fornite dal venditore
Data Science and Predictive Analytics : Biomedical and Health Applications Using R
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 45697175-n
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Data Science and Predictive Analytics : Biomedical and Health Applications Using R
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 45697175-n
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Data Science and Predictive Analytics
Editore:
Springer International Publishing Feb 2023, 2023
ISBN 10: 3031174828
ISBN 13: 9783031174827
Nuovo
Rilegato
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook integrates important mathematical foundations, efficient computational algorithms, applied statistical inference techniques, and cutting-edge machine learning approaches to address a wide range of crucial biomedical informatics, health analytics applications, and decision science challenges. Each concept in the book includes a rigorous symbolic formulation coupled with computational algorithms and complete end-to-end pipeline protocols implemented as functional R electronic markdown not Elektronisches Buch. These workflows support active learning and demonstrate comprehensive data manipulations, interactive visualizations, and sophisticated analytics. The content includes open problems, state-of-the-art scientific knowledge, ethical integration of heterogeneous scientific tools, and procedures for systematic validation and dissemination of reproducible research findings.Complementary to the enormous challenges related to handling, interrogating, and understanding massive amounts of complex structured and unstructured data, there are unique opportunities that come with access to a wealth of feature-rich, high-dimensional, and time-varying information. The topics covered in Data Science and Predictive Analyticsaddress specific knowledge gaps, resolve educational barriers, and mitigate workforce information-readiness and data science deficiencies. Specifically, it provides a transdisciplinary curriculum integrating core mathematical principles, modern computational methods, advanced data science techniques, model-based machine learning, model-free artificial intelligence, and innovative biomedical applications. The book's fourteen chapters start with an introduction and progressively build foundational skills from visualization to linear modeling, dimensionality reduction, supervised classification, black-box machine learning techniques, qualitative learning methods, unsupervised clustering, model performance assessment, feature selection strategies, longitudinal data analytics, optimization, neural networks, and deep learning. The second edition of the book includes additional learning-based strategies utilizing generative adversarial networks, transfer learning, and synthetic data generation, as well as eight complementary electronic appendices.This textbook is suitable for formal didactic instructor-guided course education, as well as for individual or team-supported self-learning. The material is presented at the upper-division and graduate-level college courses and covers applied and interdisciplinary mathematics, contemporary learning-based data science techniques, computational algorithm development, optimization theory, statistical computing, and biomedical sciences. The analytical techniques and predictive scientific methods described in the book may be useful to a wide range of readers, formal and informal learners, college instructors, researchers, and engineers throughout the academy, industry, government, regulatory, funding, and policy agencies. The supporting book website provides many examples, datasets, functional scripts, complete electronic not Elektronisches Buch, extensive appendices, and additional materials. 952 pp. Englisch. Codice articolo 9783031174827
Quantità: 2 disponibili
Immagini fornite dal venditore
Data Science and Predictive Analytics : Biomedical and Health Applications using R
Editore:
Springer International Publishing, 2023
ISBN 10: 3031174828
ISBN 13: 9783031174827
Nuovo
Rilegato
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook integrates important mathematical foundations, efficient computational algorithms, applied statistical inference techniques, and cutting-edge machine learning approaches to address a wide range of crucial biomedical informatics, health analytics applications, and decision science challenges. Each concept in the book includes a rigorous symbolic formulation coupled with computational algorithms and complete end-to-end pipeline protocols implemented as functional R electronic markdown not Elektronisches Buch. These workflows support active learning and demonstrate comprehensive data manipulations, interactive visualizations, and sophisticated analytics. The content includes open problems, state-of-the-art scientific knowledge, ethical integration of heterogeneous scientific tools, and procedures for systematic validation and dissemination of reproducible research findings.Complementary to the enormous challenges related to handling, interrogating, and understanding massive amounts of complex structured and unstructured data, there are unique opportunities that come with access to a wealth of feature-rich, high-dimensional, and time-varying information. The topics covered in Data Science and Predictive Analyticsaddress specific knowledge gaps, resolve educational barriers, and mitigate workforce information-readiness and data science deficiencies. Specifically, it provides a transdisciplinary curriculum integrating core mathematical principles, modern computational methods, advanced data science techniques, model-based machine learning, model-free artificial intelligence, and innovative biomedical applications. The book's fourteen chapters start with an introduction and progressively build foundational skills from visualization to linear modeling, dimensionality reduction, supervised classification, black-box machine learning techniques, qualitative learning methods, unsupervised clustering, model performance assessment, feature selection strategies, longitudinal data analytics, optimization, neural networks, and deep learning. The second edition of the book includes additional learning-based strategies utilizing generative adversarial networks, transfer learning, and synthetic data generation, as well as eight complementary electronic appendices.This textbook is suitable for formal didactic instructor-guided course education, as well as for individual or team-supported self-learning. The material is presented at the upper-division and graduate-level college courses and covers applied and interdisciplinary mathematics, contemporary learning-based data science techniques, computational algorithm development, optimization theory, statistical computing, and biomedical sciences. The analytical techniques and predictive scientific methods described in the book may be useful to a wide range of readers, formal and informal learners, college instructors, researchers, and engineers throughout the academy, industry, government, regulatory, funding, and policy agencies. The supporting book website provides many examples, datasets, functional scripts, complete electronic not Elektronisches Buch, extensive appendices, and additional materials. Codice articolo 9783031174827
Quantità: 1 disponibili