9781484236321 - Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness von Pendyala, Vishnu (15 Ergebnisse)

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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.

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 Twitter have 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 196 pp. Englisch.

Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents solutions to a problem that is intimidatingly complex, increasingly important, and largely unsolvedProvides simple, easy-to-understand explanations of profound mathematical concepts.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 196 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.