wei patel (24 resultados)

1st ed. 2022. XX, 252 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Intelligent Systems Reference Library, 206. Sprache: Englisch.

Hardcover. Condición: Near Fine. Estado de la sobrecubierta: Very Good. 1st Edition. First edition, first impression. Signed by Nikesh Shukla, together with eleven other contributing authors including Varaidzo, Chimene Suleyman, Wei Ming Kem, Coco Khan, Salena Godden, etc on the title page. [viii], 254pp. Black cloth-covered boards with gilt titles on the spine. Decorated endpapers. 8vo. Volume is neat, clean, bright and tight throughout. In its original dust wrapper, just a little bumped on extreme edges. Bringing together 21 black and Asian emerging voices of the 21st century, The Good Immigrant explores why people come to the UK, why they stay and what it means to be 'other' in a country which struggles to accept outsiders completely.

Condición: Bueno. : Sumérgete en el innovador mundo de la tecnología ecológica con la historia de Liam Rossi, un incansable defensor del medio ambiente que está transformando nuestra huella global. A través de innovaciones revolucionarias como SolarPaint, AirClean y EarthBattery, este libro narra su viaje desde ser un entusiasta del entorno hasta convertirse en un líder mundial de la sostenibilidad.La obra no solo detalla los logros de Rossi en la búsqueda de un planeta más saludable, sino que también sirve de inspiración para las nuevas generaciones. Es una lectura esencial para aquellos interesados en el crecimiento sostenible y en descubrir cómo la innovación puede desafiar los límites de lo posible para proteger nuestro futuro. EAN: 9781779665232 Tipo: Libros Categoría: Historia Título: Sustainability Hero: The Green Innovations of Liam Rossi Autor: Wei Patel Editorial: Telephasic Workshop Idioma: en Páginas: 132 Formato: tapa blanda.

Condición: New. In.

Condición: New. In.

Gebunden. Condición: New.

Kartoniert / Broschiert. Condición: New.

Condición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Taschenbuch. Condición: Neu. Tracking and Preventing Diseases with Artificial Intelligence | Mayuri Mehta (u. a.) | Taschenbuch | xx | Englisch | 2022 | Springer | EAN 9783030767341 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condición: New.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an overview of how machine learning and data mining techniques areused for tracking and preventing diseases. It covers several aspects such asstress level identification of a person from his/her speech,automatic diagnosis of disease from X-ray images,intelligent diagnosis of Glaucoma from clinical eye examination data, prediction of protein-coding genes from big genome data, disease detection through microscopic analysis of blood cells,information retrieval from electronic medical record using named entity recognition approaches, and prediction ofdrug-targetinteractions.The book is suitable forcomputer scientists having a bachelor degree in computer science. The bookis an ideal resource as a reference book for teaching a graduate course on AI for Medicine or AI for Health care.Researchers working in the multidisciplinary areasuse this book to discover the current developments. Besides itsuse in academia, this book provides enough details about the state-of-the-art algorithms addressing various biomedical domains, so that it could be used by industry practitioners who want to implement AI techniques to analyze the diseases.Medical institutions usethis book as reference material andgive tutorials to medical experts on how the advanced AI and ML techniquescontribute to the diagnosis and prediction of the diseases.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an overview of how machine learning and data mining techniques areused for tracking and preventing diseases. It covers several aspects such asstress level identification of a person from his/her speech,automatic diagnosis of disease from X-ray images,intelligent diagnosis of Glaucoma from clinical eye examination data, prediction of protein-coding genes from big genome data, disease detection through microscopic analysis of blood cells,information retrieval from electronic medical record using named entity recognition approaches, and prediction ofdrug-targetinteractions.The book is suitable forcomputer scientists having a bachelor degree in computer science. The bookis an ideal resource as a reference book for teaching a graduate course on AI for Medicine or AI for Health care.Researchers working in the multidisciplinary areasuse this book to discover the current developments. Besides itsuse in academia, this book provides enough details about the state-of-the-art algorithms addressing various biomedical domains, so that it could be used by industry practitioners who want to implement AI techniques to analyze the diseases.Medical institutions usethis book as reference material andgive tutorials to medical experts on how the advanced AI and ML techniquescontribute to the diagnosis and prediction of the diseases.

Hardcover. Condición: Brand New. 272 pages. 9.25x6.10x0.75 inches. In Stock.

Paperback. Condición: Brand New. 140 pages. 11.00x8.50x0.33 inches. This item is printed on demand.

Condición: new. Questo è un articolo print on demand.

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an overview of how machine learning and data mining techniques areused for tracking and preventing diseases. It covers several aspects such asstress level identification of a person from his/her speech,automatic diagnosis of disease from X-ray images,intelligent diagnosis of Glaucoma from clinical eye examination data, prediction of protein-coding genes from big genome data, disease detection through microscopic analysis of blood cells,information retrieval from electronic medical record using named entity recognition approaches, and prediction ofdrug-targetinteractions.The book is suitable forcomputer scientists having a bachelor degree in computer science. The bookis an ideal resource as a reference book for teaching a graduate course on AI for Medicine or AI for Health care.Researchers working in the multidisciplinary areasuse this book to discover the current developments. Besides its use in academia, this book provides enough details about the state-of-the-art algorithms addressing various biomedical domains, so that it could be used by industry practitioners who want to implement AI techniques to analyze the diseases.Medical institutions usethis book as reference material andgive tutorials to medical experts on how the advanced AI and ML techniquescontribute to the diagnosis and prediction of the diseases. 272 pp. Englisch.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an overview of how machine learning and data mining techniques areused for tracking and preventing diseases. It covers several aspects such asstress level identification of a person from his/her speech,automatic diagnosis of disease from X-ray images,intelligent diagnosis of Glaucoma from clinical eye examination data, prediction of protein-coding genes from big genome data, disease detection through microscopic analysis of blood cells,information retrieval from electronic medical record using named entity recognition approaches, and prediction ofdrug-targetinteractions.The book is suitable forcomputer scientists having a bachelor degree in computer science. The bookis an ideal resource as a reference book for teaching a graduate course on AI for Medicine or AI for Health care.Researchers working in the multidisciplinary areasuse this book to discover the current developments. Besides its use in academia, this book provides enough details about the state-of-the-art algorithms addressing various biomedical domains, so that it could be used by industry practitioners who want to implement AI techniques to analyze the diseases.Medical institutions usethis book as reference material andgive tutorials to medical experts on how the advanced AI and ML techniquescontribute to the diagnosis and prediction of the diseases. 272 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents an overview of how machine learning and data mining techniques are used for tracking and preventing diseases. It covers several aspects such as stress level identification of a person from his/her speech, automatic diagnosis of disease from X-ray images, intelligent diagnosis of Glaucoma from clinical eye examination data, prediction of protein-coding genes from big genome data, disease detection through microscopic analysis of blood cells, information retrieval from electronic medical record using named entity recognition approaches, and prediction of drug-target interactions.The book is suitable for computer scientists having a bachelor degree in computer science. The book is an ideal resource as a reference book for teaching a graduate course on AI for Medicine or AI for Health care. Researchers working in the multidisciplinary areas use this book to discover the current developments. Besides itsuse in academia, this book provides enough details about the state-of-the-art algorithms addressing various biomedical domains, so that it could be used by industry practitioners who want to implement AI techniques to analyze the diseases. Medical institutions use this book as reference material and give tutorials to medical experts on how the advanced AI and ML techniques contribute to the diagnosis and prediction of the diseases.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 272 pp. Englisch.

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents an overview of how machine learning and data mining techniques are used for tracking and preventing diseases. It covers several aspects such as stress level identification of a person from his/her speech, automatic diagnosis of disease from X-ray images, intelligent diagnosis of Glaucoma from clinical eye examination data, prediction of protein-coding genes from big genome data, disease detection through microscopic analysis of blood cells, information retrieval from electronic medical record using named entity recognition approaches, and prediction of drug-target interactions.The book is suitable for computer scientists having a bachelor degree in computer science. The book is an ideal resource as a reference book for teaching a graduate course on AI for Medicine or AI for Health care. Researchers working in the multidisciplinary areas use this book to discover the current developments. Besides itsuse in academia, this book provides enough details about the state-of-the-art algorithms addressing various biomedical domains, so that it could be used by industry practitioners who want to implement AI techniques to analyze the diseases. Medical institutions use this book as reference material and give tutorials to medical experts on how the advanced AI and ML techniques contribute to the diagnosis and prediction of the diseases.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 272 pp. Englisch.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Condición: New. PRINT ON DEMAND.