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Principles Practice Big Data by Berman Jules (27 results)
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Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Principles and Practice of Big Data
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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Principles and Practice of Big Data : Preparing, Sharing, and Analyzing Complex Information
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information
Language: English
Published by Academic Press 2018-07-25, 2018
ISBN 10: 0128156090 ISBN 13: 9780128156094
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Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Principles and Practice of Big Data : Preparing, Sharing, and Analyzing Complex Information
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information
Language: English
Published by Elsevier Science Publishing Co Inc, 2018
ISBN 10: 0128156090 ISBN 13: 9780128156094
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Condition: New. 2018. 2nd Edition. Paperback. . . . . .
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Principles and Practice of Big Data
Language: English
Published by Elsevier Science Publishing Co Inc, US, 2018
ISBN 10: 0128156090 ISBN 13: 9780128156094
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines.
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Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information
Language: English
Published by Elsevier Science Publishing Co Inc, 2018
ISBN 10: 0128156090 ISBN 13: 9780128156094
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information
Language: English
Published by Academic Press 2018-07-25, 2018
ISBN 10: 0128156090 ISBN 13: 9780128156094
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Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information
Language: English
Published by Elsevier Science Publishing Co Inc, 2018
ISBN 10: 0128156090 ISBN 13: 9780128156094
Condition: New. 2018. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.
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Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information
Language: English
Published by Elsevier Science Publishing Co Inc, United States, San Diego, 2018
ISBN 10: 0128156090 ISBN 13: 9780128156094
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketPaperback. Condition: Very Good. Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Taschenbuch. Condition: Neu. Principles and Practice of Big Data | Preparing, Sharing, and Analyzing Complex Information | Jules Berman | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2018 | Elsevier LTD | EAN 9780128156094 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Principles and Practice of Big Data
Language: English
Published by Elsevier Science Publishing Co Inc, US, 2018
ISBN 10: 0128156090 ISBN 13: 9780128156094
US$ 111.41
US$ 86.13 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: New. Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines.
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Big Data Principles and Practice: Preparation. Sharing and Analysis of Complex Information (2nd edition of the original book)(Chinese Edition)
Language: Chinese
Published by Machinery Industry Press, 2020
ISBN 10: 711165790X ISBN 13: 9787111657903
paperback. Condition: New. Paperback. Pub Date: 2020-06-01 Pages: 372 Publisher: Machinery Industry Press When big data resources become more and more complex. more powerful computer systems can no longer solve the problem.?This book takes us to revisit the data preparation process. focusing on the most important but often overlooked topics-identifiers. immutability. introspection. and data indexing.?In addition. the book also covers common content related to big data design. architecture. operation and analysis. as we.
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Condition: new. Questo è un articolo print on demand.
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US$ 84.44
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Add to basketPaperback. Condition: Brand New. 2nd edition. 452 pages. 9.00x7.50x1.25 inches. In Stock. This item is printed on demand.
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Principles and Practice of Big Data
Language: English
Published by Elsevier LTD Aug 2018, 2018
ISBN 10: 0128156090 ISBN 13: 9780128156094
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 -Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines. 482 pp. Englisch.
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Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information
Language: English
Published by Elsevier Science Publishing Co Inc, 2018
ISBN 10: 0128156090 ISBN 13: 9780128156094
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 123.25
US$ 20.87 shipping
Ships from United Kingdom to U.S.A.Quantity: 5 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines.
