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EUR 76,95
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Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032483997 ISBN 13 : 9781032483993
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 71,90
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Ajouter au panierPaperback. Etat : new. Paperback. This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms.Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions.This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics. The book brings a blend of different areas of Machine Learning and the recent advances in the area. From the use of ML in healthcare to security, the book encompasses several areas related to ML while keeping a check on the traditional ML algorithms. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 92,97
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Ajouter au panierPaperback. Etat : Brand New. 224 pages. 9.18x6.12x9.21 inches. In Stock.
Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032483997 ISBN 13 : 9781032483993
Langue: anglais
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 79,21
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Ajouter au panierPaperback. Etat : new. Paperback. This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms.Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions.This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics. The book brings a blend of different areas of Machine Learning and the recent advances in the area. From the use of ML in healthcare to security, the book encompasses several areas related to ML while keeping a check on the traditional ML algorithms. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 126,49
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Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days. 570.
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EUR 118,94
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Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032483997 ISBN 13 : 9781032483993
Langue: anglais
Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis
EUR 71,93
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms.Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions.This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics. The book brings a blend of different areas of Machine Learning and the recent advances in the area. From the use of ML in healthcare to security, the book encompasses several areas related to ML while keeping a check on the traditional ML algorithms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Vendeur : Best Price, Torrance, CA, Etats-Unis
EUR 113,39
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EUR 129,79
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 137,92
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 126,48
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Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 140,25
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EUR 141,75
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EUR 147,48
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 147,90
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 178,89
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Ajouter au panierHardcover. Etat : Brand New. 256 pages. 9.19x6.13x0.70 inches. In Stock.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 74,95
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Ajouter au panierPAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 124,10
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms.Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions.This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics. 212 pp. Englisch.
Vendeur : moluna, Greven, Allemagne
EUR 132,26
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Archana Patel is an Assistant Professor, School of Law, Forensic Justice, & Policy Studies, (General Computer Applications/IT), National Forensic Sciences University, Gandhinagar, Gujarat, India. She has worked as a full time fac.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 144,48
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Ajouter au panierHRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
EUR 151,17
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Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 138,30
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Ajouter au panierBuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms.Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions.This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics.