Suri abhinav (22 resultados)
Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow
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Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow
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paperback. Condición: Fine.
Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow
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Librería: Books From California, Simi Valley, CA, Estados Unidos de AmericaBooks From California
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EUR 29,91
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paperback. Condición: Very Good.
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EUR 38,01
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Librería: Lakeside Books, Benton Harbor, MI, Estados Unidos de AmericaLakeside Books
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EUR 36,81
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EUR 38,70
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Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 52,19
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Condición: New. 1st ed. edition NO-PA16APR2015-KAP.
Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow
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Librería: GoldBooks, Denver, CO, Estados Unidos de AmericaGoldBooks
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EUR 52,15
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Paperback. Condición: new. New Copy. Customer Service Guaranteed.
Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 49,94
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Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 48,53
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Condición: New. 2021. 1st ed. Paperback. . . . . .
Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 50,16
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 44,98
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Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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EUR 60,64
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Condición: New. 2021. 1st ed. Paperback. . . . . . Books ship from the US and Ireland.
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 52,32
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Librería: moluna, Greven, Alemaniamoluna
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EUR 48,37
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 50,95
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Taschenbuch. Condición: Neu. Practical AI for Healthcare Professionals | Machine Learning with Numpy, Scikit-learn, and TensorFlow | Abhinav Suri | Taschenbuch | xiv | Englisch | 2021 | Apress | EAN 9781484277799 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin,… juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 46,56
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Condición: new. Questo è un articolo print on demand.
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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EUR 61,35
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Condición: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 58,84
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Practical AI for Healthcare ProfessionalsArtificial Intelligence (AI) is a buzzword in the healthcare sphere today. However, notions of what AI actually is and how it works are often not discussed. Furthermore, information on AI imp…lementation is often tailored towards seasoned programmers rather than the healthcare professional/beginner coder. This book gives an introduction to practical AI in the medical sphere, focusing on real-life clinical problems, how to solve them with actual code, and how to evaluate the efficacy of those solutions. You'll start by learning how to diagnose problems as ones that can and cannot be solved with AI. You'll then learn the basics of computer science algorithms, neural networks, and when each should be applied. Then you'll tackle the essential parts of basic Python programming relevant to data processing and making AI programs. The Tensorflow/Keras library along with Numpy and Scikit-Learn are covered as well.Once you've mastered those basic computer science and programming concepts, you can dive into projects with code, implementation details, and explanations. These projects give you the chance to explore using machine learning algorithms for issues such as predicting the probability of hospital admission from emergency room triage and patient demographic data. We will then use deep learning to determine whether patients have pneumonia using chest X-Ray images.The topics covered in this book not only encompass areas of the medical field where AI is already playing a major role, but also are engineered to cover as much as possible of AI that is relevant to medical diagnostics. Along the way, readers can expect to learn data processing, how to conceptualize problems that can be solved by AI, and how to program solutions to those problems. Physicians and other healthcare professionals who can master these skills will be able to lead AI-based research and diagnostic tool development, ultimately benefiting countless patients. 268 pp. Englisch.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 55,66
Envío por EUR 62,06Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Practical AI for Healthcare ProfessionalsArtificial Intelligence (AI) is a buzzword in the healthcare sphere today. However, notions of what AI actually is and how it works are often not discussed. Furthermore, information on AI implemen…tation is often tailored towards seasoned programmers rather than the healthcare professional/beginner coder. This book gives an introduction to practical AI in the medical sphere, focusing on real-life clinical problems, how to solve them with actual code, and how to evaluate the efficacy of those solutions. You'll start by learning how to diagnose problems as ones that can and cannot be solved with AI. You'll then learn the basics of computer science algorithms, neural networks, and when each should be applied. Then you'll tackle the essential parts of basic Python programming relevant to data processing and making AI programs. The Tensorflow/Keras library along with Numpy and Scikit-Learn are covered as well.Once you've mastered those basic computer science and programming concepts, you can dive into projects with code, implementation details, and explanations. These projects give you the chance to explore using machine learning algorithms for issues such as predicting the probability of hospital admission from emergency room triage and patient demographic data. We will then use deep learning to determine whether patients have pneumonia using chest X-Ray images.The topics covered in this book not only encompass areas of the medical field where AI is already playing a major role, but also are engineered to cover as much as possible of AI that is relevant to medical diagnostics. Along the way, readers can expect to learn data processing, how to conceptualize problems that can be solved by AI, and how to program solutions to those problems. Physicians and other healthcare professionals who can master these skills will be able to lead AI-based research and diagnostic tool development, ultimately benefiting countless patients.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 58,84
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Practical AI for Healthcare ProfessionalsArtificial Intelligence (AI) is a buzzword in the healthcare sphere today. However, notions of what AI actually is and how it works are often not discussed. Furthermore, information on AI impleme…ntation is often tailored towards seasoned programmers rather than the healthcare professional/beginner coder. This book gives an introduction to practical AI in the medical sphere, focusing on real-life clinical problems, how to solve them with actual code, and how to evaluate the efficacy of those solutions. You'll start by learning how to diagnose problems as ones that can and cannot be solved with AI. You'll then learn the basics of computer science algorithms, neural networks, and when each should be applied. Then you'll tackle the essential parts of basic Python programming relevant to data processing and making AI programs. The Tensorflow/Keras library along with Numpy and Scikit-Learn are covered as well.Once you've mastered those basic computer science and programming concepts, you can dive into projects with code, implementation details, and explanations. These projects give you the chance to explore using machine learning algorithms for issues such as predicting the probability of hospital admission from emergency room triage and patient demographic data. We will then use deep learning to determine whether patients have pneumonia using chest X-Ray images.The topics covered in this book not only encompass areas of the medical field where AI is already playing a major role, but also are engineered to cover as much as possible of AI that is relevant to medical diagnostics. Along the way, readers can expect to learn data processing, how to conceptualize problems that can be solved by AI, and how to program solutions to those problems. Physicians and other healthcare professionals who can master these skills will be able to lead AI-based research and diagnostic tool development, ultimately benefiting countless patients.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 268 pp. Englisch.
