Order Total (1 Item Items):
Shipping Destination:
9781484236321 - Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness by Pendyala, Vishnu (17 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (17)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (15)
- As New, Fine or Near Fine (2)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (17)
Collectible Attributes
- First Edition (1)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (8)
- Not Print on Demand (12)
Language (1)
Free Shipping
Seller Location
Seller Rating
-
-
Condition: 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!
-
Paperback or Softback. Condition: New. Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness. Book.
-
Condition: As New. Unread book in perfect condition.
-
Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2018. First Edition. paperback. . . . . .
-
Paperback. Condition: Brand New. 180 pages. 9.00x6.00x0.50 inches. In Stock.
-
Veracity of Big Data : Machine Learning and Other Approaches to Verifying Truthfulness
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Condition: New. 2018. First Edition. paperback. . . . . . Books ship from the US and Ireland.
-
Veracity of Big Data : Machine Learning and Other Approaches to Verifying Truthfulness
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
-
Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 33.39
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In English.
-
Taschenbuch. Condition: 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.
-
Condition: new. Questo è un articolo print on demand.
-
Veracity of Big Data
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Condition: 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.
-
Veracity of Big Data
Language: English
Published by Apress, Apress Jun 2018, 2018
ISBN 10: 1484236327 ISBN 13: 9781484236321
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Condition: 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.
