mohammad zeeshan (46 risultati)

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Taschenbuch. Condizione: Neu. CLINICAL PREDICTIVE MODEL USING MACHINE LEARNING | Mohammad Zeeshan (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786205517093 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Taschenbuch. Condizione: Neu. Klinisches Vorhersagemodell durch maschinelles Lernen | Mohammad Zeeshan (u. a.) | Taschenbuch | 100 S. | Deutsch | 2023 | Verlag Unser Wissen | EAN 9786205652404 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

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PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -''The CBDC Revolution: Reinventing Money in the Digital Age'' explores the transformation from traditional to digital currencies, with a focus on India. Authored by Mohammad Zeeshan and Gourav Aggarwal, this important work investigates the crucial role of central banks in adopting digital currencies that are reshaping economic frameworks, especially in emerging markets, with a detailed emphasis on India's advancements.As nations address the challenges of modern financial systems, CBDCs emerge as innovative solutions, enhancing financial inclusion, transaction efficiency, and economic stability. This book offers a detailed analysis of the elements, policy implications, and broad societal impacts of adopting digital currencies in evolving economic landscapes. From the bustling markets of Mumbai to remote areas where traditional banking is infrequent, digital currencies are sparking a transformative movement.The authors blend thorough academic research with practical experience, using extensive studies and real-life instances to illustrate a future shaped by digital finance. They investigate how CBDCs can revolutionize interactions between customers and businesses, bolster small enterprises, and foster significant changes across various industries by creating a more interconnected, secure, and inclusive financial ecosystem.''The CBDC Revolution: Reinventing Money in the Digital Age'' serves as more than just a text; it is a vital resource for policymakers, a source of inspiration for fintech professionals, and an indispensable guide for anyone at the crossroads of technology and finance. Through this book, readers will not only comprehend the workings of digital currencies but will also see their potential to foster a more just and equitable global society. 58 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rashid ZeeshanZeeshan Rashid received his MSCSE (2013-16) from MUST Mirpur AJK, Pakistan. He works The Univ of Azad J & Kashmir Muzaffarabad and research interests are Computer NetworksProf. Mohammad Riaz Moghal did PostDoc(UK),PhD(.

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the healthcare industry, big data analytics is extremely important, evidently since the industry itself is home to a vast sea of datasets. Analytics is used to examine these datasets and uncover hidden information and trends in order to extract knowledge and anticipate outcomes. The current existing approaches lack considerable categorization and prediction accuracy since the fetching of structured healthcare and clinical data is time-consuming and accurate prediction of diseases using real-time reports is a tough and computationally intensive task. Therefore, understanding motives behind machine learning approaches in healthcare are essential, since precision and accuracy are often critical in healthcare problems. The aims is to build a generalized clinical machine learning predictive model using supervised classification algorithms, in-order to predict various common yet severe health diseases through a binary output. 96 pp. Englisch.

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Paperback. Condizione: new. Paperback. ""The CBDC Revolution: Reinventing Money in the Digital Age"" explores the transformation from traditional to digital currencies, with a focus on India. Authored by Mohammad Zeeshan and Gourav Aggarwal, this important work investigates the crucial role of central banks in adopting digital currencies that are reshaping economic frameworks, especially in emerging markets, with a detailed emphasis on India's advancements. As nations address the challenges of modern financial systems, CBDCs emerge as innovative solutions, enhancing financial inclusion, transaction efficiency, and economic stability. This book offers a detailed analysis of the elements, policy implications, and broad societal impacts of adopting digital currencies in evolving economic landscapes. From the bustling markets of Mumbai to remote areas where traditional banking is infrequent, digital currencies are sparking a transformative movement. The authors blend thorough academic research with practical experience, using extensive studies and real-life instances to illustrate a future shaped by digital finance. They investigate how CBDCs can revolutionize interactions between customers and businesses, bolster small enterprises, and foster significant changes across various industries by creating a more interconnected, secure, and inclusive financial ecosystem. ""The CBDC Revolution: Reinventing Money in the Digital Age"" serves as more than just a text; it is a vital resource for policymakers, a source of inspiration for fintech professionals, and an indispensable guide for anyone at the crossroads of technology and finance. Through this book, readers will not only comprehend the workings of digital currencies but will also see their potential to foster a more just and equitable global society. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In the healthcare industry, big data analytics is extremely important, evidently since the industry itself is home to a vast sea of datasets. Analytics is used to examine these datasets and uncover hidden information and trends in order to extract knowledge.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -''The CBDC Revolution: Reinventing Money in the Digital Age'' explores the transformation from traditional to digital currencies, with a focus on India. Authored by Mohammad Zeeshan and Gourav Aggarwal, this important work investigates the crucial role of central banks in adopting digital currencies that are reshaping economic frameworks, especially in emerging markets, with a detailed emphasis on India's advancements.As nations address the challenges of modern financial systems, CBDCs emerge as innovative solutions, enhancing financial inclusion, transaction efficiency, and economic stability. This book offers a detailed analysis of the elements, policy implications, and broad societal impacts of adopting digital currencies in evolving economic landscapes. From the bustling markets of Mumbai to remote areas where traditional banking is infrequent, digital currencies are sparking a transformative movement.The authors blend thorough academic research with practical experience, using extensive studies and real-life instances to illustrate a future shaped by digital finance. They investigate how CBDCs can revolutionize interactions between customers and businesses, bolster small enterprises, and foster significant changes across various industries by creating a more interconnected, secure, and inclusive financial ecosystem.''The CBDC Revolution: Reinventing Money in the Digital Age'' serves as more than just a text; it is a vital resource for policymakers, a source of inspiration for fintech professionals, and an indispensable guide for anyone at the crossroads of technology and finance. Through this book, readers will not only comprehend the workings of digital currencies but will also see their potential to foster a more just and equitable global society.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 58 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - ''The CBDC Revolution: Reinventing Money in the Digital Age'' explores the transformation from traditional to digital currencies, with a focus on India. Authored by Mohammad Zeeshan and Gourav Aggarwal, this important work investigates the crucial role of central banks in adopting digital currencies that are reshaping economic frameworks, especially in emerging markets, with a detailed emphasis on India's advancements.As nations address the challenges of modern financial systems, CBDCs emerge as innovative solutions, enhancing financial inclusion, transaction efficiency, and economic stability. This book offers a detailed analysis of the elements, policy implications, and broad societal impacts of adopting digital currencies in evolving economic landscapes. From the bustling markets of Mumbai to remote areas where traditional banking is infrequent, digital currencies are sparking a transformative movement.The authors blend thorough academic research with practical experience, using extensive studies and real-life instances to illustrate a future shaped by digital finance. They investigate how CBDCs can revolutionize interactions between customers and businesses, bolster small enterprises, and foster significant changes across various industries by creating a more interconnected, secure, and inclusive financial ecosystem.''The CBDC Revolution: Reinventing Money in the Digital Age'' serves as more than just a text; it is a vital resource for policymakers, a source of inspiration for fintech professionals, and an indispensable guide for anyone at the crossroads of technology and finance. Through this book, readers will not only comprehend the workings of digital currencies but will also see their potential to foster a more just and equitable global society.

Taschenbuch. Condizione: Neu. The CBDC Revolution | Reinventing Money in the Digital Age: Central Bank Digital Currencies in Emerging Economies: Evidence from India | Mohammad Zeeshan | Taschenbuch | Englisch | 2025 | Eliva Press | EAN 9789999324199 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -En el sector sanitario, la analítica de macrodatos es extremadamente importante, evidentemente porque el propio sector alberga un vasto mar de conjuntos de datos. La analítica se utiliza para examinar estos conjuntos de datos y descubrir información y tendencias ocultas con el fin de extraer conocimientos y anticipar resultados. Los enfoques actuales carecen de una categorización y una precisión de predicción considerables, ya que la obtención de datos sanitarios y clínicos estructurados requiere mucho tiempo y la predicción precisa de enfermedades mediante informes en tiempo real es una tarea ardua y de alta carga computacional. Por lo tanto, es esencial comprender los motivos que subyacen a los enfoques de aprendizaje automático en la atención sanitaria, ya que la precisión y la exactitud suelen ser fundamentales en los problemas sanitarios. El objetivo es construir un modelo predictivo de aprendizaje automático clínico generalizado utilizando algoritmos de clasificación supervisados, con el fin de predecir varias enfermedades comunes pero graves a través de una salida binaria. 100 pp. Spanisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the healthcare industry, big data analytics is extremely important, evidently since the industry itself is home to a vast sea of datasets. Analytics is used to examine these datasets and uncover hidden information and trends in order to extract knowledge and anticipate outcomes. The current existing approaches lack considerable categorization and prediction accuracy since the fetching of structured healthcare and clinical data is time-consuming and accurate prediction of diseases using real-time reports is a tough and computationally intensive task. Therefore, understanding motives behind machine learning approaches in healthcare are essential, since precision and accuracy are often critical in healthcare problems. The aims is to build a generalized clinical machine learning predictive model using supervised classification algorithms, in-order to predict various common yet severe health diseases through a binary output.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the healthcare industry, big data analytics is extremely important, evidently since the industry itself is home to a vast sea of datasets. Analytics is used to examine these datasets and uncover hidden information and trends in order to extract knowledge and anticipate outcomes. The current existing approaches lack considerable categorization and prediction accuracy since the fetching of structured healthcare and clinical data is time-consuming and accurate prediction of diseases using real-time reports is a tough and computationally intensive task. Therefore, understanding motives behind machine learning approaches in healthcare are essential, since precision and accuracy are often critical in healthcare problems. The aims is to build a generalized clinical machine learning predictive model using supervised classification algorithms, in-order to predict various common yet severe health diseases through a binary output.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Dans le secteur des soins de santé, l'analyse des big data est extrêmement importante, évidemment parce que le secteur lui-même abrite une vaste mer de données. L'analytique est utilisée pour examiner ces ensembles de données et découvrir des informations et des tendances cachées afin d'extraire des connaissances et d'anticiper des résultats. Les approches actuelles manquent de précision en matière de catégorisation et de prédiction, car la collecte de données cliniques et de soins de santé structurés prend beaucoup de temps et la prédiction précise des maladies à l'aide de rapports en temps réel est une tâche difficile et exigeante en termes de calcul. Par conséquent, il est essentiel de comprendre les motifs qui sous-tendent les approches d'apprentissage automatique dans le domaine de la santé, car la précision et l'exactitude sont souvent cruciales dans les problèmes de santé. L'objectif est de construire un modèle prédictif d'apprentissage automatique clinique généralisé en utilisant des algorithmes de classification supervisée, afin de prédire diverses maladies courantes mais graves par le biais d'une sortie binaire. 100 pp. Französisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -En el sector sanitario, la analítica de macrodatos es extremadamente importante, evidentemente porque el propio sector alberga un vasto mar de conjuntos de datos. La analítica se utiliza para examinar estos conjuntos de datos y descubrir información y tendencias ocultas con el fin de extraer conocimientos y anticipar resultados. Los enfoques actuales carecen de una categorización y una precisión de predicción considerables, ya que la obtención de datos sanitarios y clínicos estructurados requiere mucho tiempo y la predicción precisa de enfermedades mediante informes en tiempo real es una tarea ardua y de alta carga computacional. Por lo tanto, es esencial comprender los motivos que subyacen a los enfoques de aprendizaje automático en la atención sanitaria, ya que la precisión y la exactitud suelen ser fundamentales en los problemas sanitarios. El objetivo es construir un modelo predictivo de aprendizaje automático clínico generalizado utilizando algoritmos de clasificación supervisados, con el fin de predecir varias enfermedades comunes pero graves a través de una salida binaria.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Spanisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - En el sector sanitario, la analítica de macrodatos es extremadamente importante, evidentemente porque el propio sector alberga un vasto mar de conjuntos de datos. La analítica se utiliza para examinar estos conjuntos de datos y descubrir información y tendencias ocultas con el fin de extraer conocimientos y anticipar resultados. Los enfoques actuales carecen de una categorización y una precisión de predicción considerables, ya que la obtención de datos sanitarios y clínicos estructurados requiere mucho tiempo y la predicción precisa de enfermedades mediante informes en tiempo real es una tarea ardua y de alta carga computacional. Por lo tanto, es esencial comprender los motivos que subyacen a los enfoques de aprendizaje automático en la atención sanitaria, ya que la precisión y la exactitud suelen ser fundamentales en los problemas sanitarios. El objetivo es construir un modelo predictivo de aprendizaje automático clínico generalizado utilizando algoritmos de clasificación supervisados, con el fin de predecir varias enfermedades comunes pero graves a través de una salida binaria.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.