EUR 23,54
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.
EUR 21,21
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 21,21
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 23,55
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 29,67
Quantità: 15 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 22,40
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 22,31
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 23,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Majestic Books, Hounslow, Regno Unito
EUR 34,90
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 32,73
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new.
EUR 32,12
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 153 pages. 9.45x6.69x0.33 inches. In Stock.
hardcover. Condizione: New. Open Books is a nonprofit social venture that provides literacy experiences for thousands of readers each year through inspiring programs and creative capitalization of books.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 44,01
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. 2021. Paperback. . . . . .
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 59,55
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
EUR 53,88
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 66,62
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 61,20
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 24,69
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.
Condizione: New. First edition Includes bibliographical references and index.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 60,41
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 64,46
Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 64,44
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 69,10
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 19,95
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 72,07
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 19,45
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Machine Learning Applications | Emerging Trends | Rik Das (u. a.) | Taschenbuch | XII | Englisch | 2022 | De Gruyter | EAN 9783110777055 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu.
Da: Revaluation Books, Exeter, Regno Unito
EUR 87,11
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 218 pages. 9.18x6.12x9.21 inches. In Stock.
EUR 22,30
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.