Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New.
Anbieter: Lakeside Books, Benton Harbor, MI, USA
Zustand: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Paperback or Softback. Zustand: New. Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness. Book.
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition.
Anbieter: California Books, Miami, FL, USA
Zustand: New.
Paperback. Zustand: New. Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V's of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology. Veracity of Big Data serves as an introduction to machine learning algorithms and diverse techniques such as the Kalman filter, SPRT, CUSUM, fuzzy logic, and Blockchain, showing how they can be used to solve problems in the veracity domain. Using examples, the math behind the techniques is explained in easy-to-understand language.Determining the truth of big data in real-world applications involves using various tools to analyze the available information. This book delves into some of the techniques that can be used. Microblogging websites such as Twitterhave played a major role in public life, including during presidential elections. The book uses examples of microblogs posted on a particular topic to demonstrate how veracity can be examined and established. Some of the techniques are described in the context of detecting veiled attacks on microblogging websites to influence public opinion.What You'll LearnUnderstand the problem concerning data veracity and its ramificationsDevelop the mathematical foundation needed to help minimize the impact of the problem using easy-to-understand language and examplesUse diverse tools and techniques such as machine learning algorithms, Blockchain, and the Kalman filter to address veracity issuesWho This Book Is ForSoftware developers and practitioners, practicing engineers, curious managers, graduate students, and research scholars.
EUR 33,05
Anzahl: 8 verfügbar
In den WarenkorbPaperback. Zustand: New. Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V's of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology. Veracity of Big Data serves as an introduction to machine learning algorithms and diverse techniques such as the Kalman filter, SPRT, CUSUM, fuzzy logic, and Blockchain, showing how they can be used to solve problems in the veracity domain. Using examples, the math behind the techniques is explained in easy-to-understand language.Determining the truth of big data in real-world applications involves using various tools to analyze the available information. This book delves into some of the techniques that can be used. Microblogging websites such as Twitterhave played a major role in public life, including during presidential elections. The book uses examples of microblogs posted on a particular topic to demonstrate how veracity can be examined and established. Some of the techniques are described in the context of detecting veiled attacks on microblogging websites to influence public opinion.What You'll LearnUnderstand the problem concerning data veracity and its ramificationsDevelop the mathematical foundation needed to help minimize the impact of the problem using easy-to-understand language and examplesUse diverse tools and techniques such as machine learning algorithms, Blockchain, and the Kalman filter to address veracity issuesWho This Book Is ForSoftware developers and practitioners, practicing engineers, curious managers, graduate students, and research scholars.
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
Erstausgabe
Zustand: New. 2018. First Edition. paperback. . . . . .
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 33,16
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 180 pages. 9.00x6.00x0.50 inches. In Stock.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 29,63
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2018. First Edition. paperback. . . . . . Books ship from the US and Ireland.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 34,76
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 39,86
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In English.
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
EUR 35,76
Anzahl: 10 verfügbar
In den WarenkorbPF. Zustand: New.
Paperback. Zustand: New. Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V's of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology. Veracity of Big Data serves as an introduction to machine learning algorithms and diverse techniques such as the Kalman filter, SPRT, CUSUM, fuzzy logic, and Blockchain, showing how they can be used to solve problems in the veracity domain. Using examples, the math behind the techniques is explained in easy-to-understand language.Determining the truth of big data in real-world applications involves using various tools to analyze the available information. This book delves into some of the techniques that can be used. Microblogging websites such as Twitterhave played a major role in public life, including during presidential elections. The book uses examples of microblogs posted on a particular topic to demonstrate how veracity can be examined and established. Some of the techniques are described in the context of detecting veiled attacks on microblogging websites to influence public opinion.What You'll LearnUnderstand the problem concerning data veracity and its ramificationsDevelop the mathematical foundation needed to help minimize the impact of the problem using easy-to-understand language and examplesUse diverse tools and techniques such as machine learning algorithms, Blockchain, and the Kalman filter to address veracity issuesWho This Book Is ForSoftware developers and practitioners, practicing engineers, curious managers, graduate students, and research scholars.
Zustand: As New. Unread book in perfect condition.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Veracity of Big Data | Machine Learning and Other Approaches to Verifying Truthfulness | Vishnu Pendyala | Taschenbuch | xiv | Englisch | 2018 | Apress | EAN 9781484236321 | 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.
Zustand: New.
EUR 34,77
Anzahl: 8 verfügbar
In den WarenkorbPaperback. Zustand: New. Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V's of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology. Veracity of Big Data serves as an introduction to machine learning algorithms and diverse techniques such as the Kalman filter, SPRT, CUSUM, fuzzy logic, and Blockchain, showing how they can be used to solve problems in the veracity domain. Using examples, the math behind the techniques is explained in easy-to-understand language.Determining the truth of big data in real-world applications involves using various tools to analyze the available information. This book delves into some of the techniques that can be used. Microblogging websites such as Twitterhave played a major role in public life, including during presidential elections. The book uses examples of microblogs posted on a particular topic to demonstrate how veracity can be examined and established. Some of the techniques are described in the context of detecting veiled attacks on microblogging websites to influence public opinion.What You'll LearnUnderstand the problem concerning data veracity and its ramificationsDevelop the mathematical foundation needed to help minimize the impact of the problem using easy-to-understand language and examplesUse diverse tools and techniques such as machine learning algorithms, Blockchain, and the Kalman filter to address veracity issuesWho This Book Is ForSoftware developers and practitioners, practicing engineers, curious managers, graduate students, and research scholars.
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2025
ISBN 10: 303184601X ISBN 13: 9783031846014
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 112,31
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. revised edition. 277 pages. 9.26x6.11x9.21 inches. In Stock.
Sprache: Englisch
Verlag: Engineering Science Reference, 2020
ISBN 10: 1799818640 ISBN 13: 9781799818649
Anbieter: Books From California, Simi Valley, CA, USA
paperback. Zustand: Very Good.
Sprache: Englisch
Verlag: Springer Nature Switzerland, Springer International Publishing, 2025
ISBN 10: 303184601X ISBN 13: 9783031846014
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 14th International Conference on Advanced Computing, IACC 2024, held in Bali, Indonesia, during December 13-14, 2024.The 17 full papers presented in this book were carefully reviewed and selected from 89 submissions. They focus on topics such as: Advancements in Artificial Intelligence and Machine Learning;Applications of Large Language Models;AI in Healthcare and Medical Imaging;AI for Disaster Management and Renewable Energy andChallenges and Ethical Considerations in AI.
Taschenbuch. Zustand: Neu. Advanced Computing | 14th International Conference, IACC 2024, Bali, Indonesia, December 13-14, 2024, Revised Selected Papers | Deepak Garg (u. a.) | Taschenbuch | Communications in Computer and Information Science | xxi | Englisch | 2025 | Springer | EAN 9783031846014 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New.
Sprache: Englisch
Verlag: Engineering Science Reference, 2020
ISBN 10: 1799818640 ISBN 13: 9781799818649
Anbieter: GreatBookPrices, Columbia, MD, USA
EUR 171,60
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 156,97
Anzahl: 10 verfügbar
In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Engineering Science Reference, 2020
ISBN 10: 1799818640 ISBN 13: 9781799818649
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 167,03
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Engineering Science Reference, 2020
ISBN 10: 1799818640 ISBN 13: 9781799818649
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 167,02
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition.