M Vengateshwaran (68 results)

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. DEEP LEARNING FOR HEALTHCARE: AI IN DIAGNOSIS, IMAGING, AND GENOMIC | Vengateshwaran M. (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786206780359 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. L'APPRENTISSAGE PROFOND POUR LES SOINS DE SANTÉ : AI DANS LE DIAGNOSTIC, L'IMAGERIE ET LA GÉNOMIQUE | Vengateshwaran M (u. a.) | Taschenbuch | Französisch | 2025 | Editions Notre Savoir | EAN 9786202376709 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Condition: New.

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. APRENDIZAGEM PROFUNDA PARA OS CUIDADOS DE SAÚDE: AI EM DIAGNÓSTICO, IMAGIOLOGIA E GENÓMICA | Vengateshwaran M (u. a.) | Taschenbuch | Portugiesisch | 2025 | Edições Nosso Conhecimento | EAN 9786202376730 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. DEEP LEARNING PER L'ASSISTENZA SANITARIA: AI NELLA DIAGNOSI, NELLA DIAGNOSTICA PER IMMAGINI E NELLA GENOMICA | Vengateshwaran M (u. a.) | Taschenbuch | Italienisch | 2025 | Edizioni Sapienza | EAN 9786202376716 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. G¿¿BOKIE UCZENIE DLA OPIEKI ZDROWOTNEJ: AI W DIAGNOSTYCE, OBRAZOWANIU I GENOMICE | Vengateshwaran M (u. a.) | Taschenbuch | Polnisch | 2025 | Wydawnictwo Nasza Wiedza | EAN 9786202376723 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condition: New.

Taschenbuch. Condition: Neu. DEEP LEARNING FÜR DAS GESUNDHEITSWESEN: AI IN DIAGNOSE, BILDGEBUNG UND GENOMIK | Vengateshwaran M (u. a.) | Taschenbuch | 136 S. | Deutsch | 2025 | Verlag Unser Wissen | EAN 9786202376655 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

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

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

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 112 pp. Englisch.

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

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

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep learning, a rapidly advancing branch of artificial intelligence (AI), is revolutionizing the landscape of healthcare by enabling machines to perform complex tasks such as pattern recognition, classification, and prediction with unprecedented accuracy. Unlike traditional machine learning, which relies heavily on manual feature extraction, deep learning employs artificial neural networks capable of automatically learning from large volumes of raw data. This capability has made it a powerful tool in solving some of the most intricate problems in healthcare.Despite the challenges surrounding data privacy, model interpretability, and regulatory compliance, the benefits of deep learning in healthcare are profound. It streamlines clinical workflows, reduces diagnostic delays, supports evidence-based decisions, and improves the overall quality of care. As research continues to evolve, deep learning holds immense promise in addressing some of the most pressing challenges in global health-ranging from early disease detection and chronic illness management to outbreak prediction and drug discovery. …

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 136 pp. Spanisch.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Deep learning, a rapidly advancing branch of artificial intelligence (AI), is revolutionizing the landscape of healthcare by enabling machines to perform complex tasks such as pattern recognition, classification, and prediction with unprecedented accuracy. Unlike traditional machine learning, which relies heavily on manual feature extraction, deep learning employs artificial neural networks capable of automatically learning from large volumes of raw data. This capability has made it a powerful tool in solving some of the most intricate problems in healthcare.Despite the challenges surrounding data privacy, model interpretability, and regulatory compliance, the benefits of deep learning in healthcare are profound. It streamlines clinical workflows, reduces diagnostic delays, supports evidence-based decisions, and improves the overall quality of care. As research continues to evolve, deep learning holds immense promise in addressing some of the most pressing challenges in global health-ranging from early disease detection and chronic illness management to outbreak prediction and drug discovery.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. …

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - El aprendizaje profundo, una rama de la inteligencia artificial (IA) que avanza con rapidez, está revolucionando el panorama de la atención sanitaria al permitir a las máquinas realizar tareas complejas como el reconocimiento de patrones, la clasificación y la predicción con una precisión sin precedentes. A diferencia del aprendizaje automático tradicional, que depende en gran medida de la extracción manual de características, el aprendizaje profundo emplea redes neuronales artificiales capaces de aprender automáticamente a partir de grandes volúmenes de datos sin procesar. Esta capacidad lo ha convertido en una poderosa herramienta para resolver algunos de los problemas más intrincados de la atención sanitaria.A pesar de los retos que plantean la privacidad de los datos, la interpretabilidad de los modelos y el cumplimiento de la normativa, los beneficios del aprendizaje profundo en la atención sanitaria son profundos. Agiliza los flujos de trabajo clínicos, reduce los retrasos en el diagnóstico, respalda las decisiones basadas en la evidencia y mejora la calidad general de la atención. A medida que la investigación sigue evolucionando, el aprendizaje profundo es muy prometedor para abordar algunos de los retos más acuciantes de la salud mundial, desde la detección precoz de enfermedades y la gestión de enfermedades crónicas hasta la predicción de brotes epidémicos y el descubrimiento de fármacos.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -L'apprentissage profond, une branche de l'intelligence artificielle (IA) qui progresse rapidement, révolutionne le paysage des soins de santé en permettant aux machines d'effectuer des tâches complexes telles que la reconnaissance des formes, la classification et la prédiction avec une précision sans précédent. Contrairement à l'apprentissage automatique traditionnel, qui repose largement sur l'extraction manuelle de caractéristiques, l'apprentissage profond utilise des réseaux neuronaux artificiels capables d'apprendre automatiquement à partir de grands volumes de données brutes. Cette capacité en a fait un outil puissant pour résoudre certains des problèmes les plus complexes dans le domaine des soins de santé.Malgré les défis liés à la confidentialité des données, à l'interprétabilité des modèles et à la conformité réglementaire, les avantages de l'apprentissage profond dans le domaine des soins de santé sont considérables. Il rationalise les flux de travail cliniques, réduit les délais de diagnostic, soutient les décisions fondées sur des données probantes et améliore la qualité globale des soins. Alors que la recherche continue d'évoluer, l'apprentissage profond est extrêmement prometteur pour relever certains des défis les plus urgents en matière de santé mondiale, qu'il s'agisse de la détection précoce des maladies, de la gestion des maladies chroniques, de la prédiction des épidémies ou de la découverte de médicaments. 136 pp. Französisch.…