EUR 72,64
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Aggiungi al carrelloPaperback. Condizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 66,44
Convertire valutaQuantità: 3 disponibili
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Da: California Books, Miami, FL, U.S.A.
EUR 71,97
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 78,61
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: Books Puddle, New York, NY, U.S.A.
EUR 73,75
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Best Price, Torrance, CA, U.S.A.
EUR 58,69
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Aggiungi al carrelloCondizione: New. SUPER FAST SHIPPING.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 76,95
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032483997 ISBN 13: 9781032483993
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 72,01
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 92,76
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 224 pages. 9.18x6.12x9.21 inches. In Stock.
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032483997 ISBN 13: 9781032483993
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 79,04
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 119,00
Convertire valutaQuantità: 10 disponibili
Aggiungi al carrelloCondizione: New.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 126,22
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 570.
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032483997 ISBN 13: 9781032483993
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 71,96
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: Best Price, Torrance, CA, U.S.A.
EUR 113,44
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: New. SUPER FAST SHIPPING.
Da: Majestic Books, Hounslow, Regno Unito
EUR 129,86
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 126,21
Convertire valutaQuantità: 10 disponibili
Aggiungi al carrelloCondizione: New.
Da: Books Puddle, New York, NY, U.S.A.
EUR 140,63
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New. 1st edition NO-PA16APR2015-KAP.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 141,82
Convertire valutaQuantità: 10 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 147,72
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 147,77
Convertire valutaQuantità: 10 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Revaluation Books, Exeter, Regno Unito
EUR 177,98
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 256 pages. 9.19x6.13x0.70 inches. In Stock.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 124,10
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Aggiungi al carrelloBuch. Condizione: 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.
Da: moluna, Greven, Germania
EUR 132,26
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 144,16
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Aggiungi al carrelloHRD. 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.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 151,24
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 138,30
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: 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.