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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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paperback. Condition: Good. 2nd Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. 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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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
Language: English
Published by Academic Press 2018-07-25, 2018
ISBN 10: 0128156090 ISBN 13: 9780128156094
Paperback. Condition: New.
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Principles and Practice of Big Data : Preparing, Sharing, and Analyzing Complex Information
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 62.69
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Principles and Practice of Big Data : Preparing, Sharing, and Analyzing Complex Information
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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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
Seller rating 5 out of 5 stars
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 Academic Press 2018-07-25, 2018
ISBN 10: 0128156090 ISBN 13: 9780128156094
Paperback. Condition: New.
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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
£ 68.27
£ 21.44 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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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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Condition: NEW.
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paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2024-03 Pages: 140 Publisher: Science Press This book introduces the analysis methods of graph detection big data in food and drug quality and safety management from a multidisciplinary perspective. The main contents include: The sources and modal characteristics of food and drug quality and safety big data. especially the graph rapid detection equipment and technology that have received widespread attention in recent years; Introduces the recent new comp.
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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
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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Artificial Intelligence (Principles. Algorithms and Practice 2nd Edition Micro Lesson Video Edition)/Big Data and Artificial Intelligence Technology Series(Chinese Edition)
Language: Chinese
Published by Tsinghua University Press, 2021
ISBN 10: 7302572542 ISBN 13: 9787302572541
paperback. Condition: New. Paperback. Pub Date: 2021-09-01 Pages: 295 Language: Chinese Publisher: Tsinghua University Press. This book systematically introduces the basic principles. basic technologies. basic methods and application fields of artificial intelligence. and more comprehensively reflects 60 Over the years. the progress in the field of artificial intelligence has made some choices based on the development trend of artificial intelligence.?The book consists of 9 chapters.?Chapter 1 introduces the basic conc.
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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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paperback. Condition: New. Paperback. Pub Date: 2023-10 Pages: 356 Language: Chinese Publisher: Renmin University of China Press Machine learning is an indispensable and important part of data science and one of the core contents of data science talent training. This book uses a trinity explanation method of machine learning theory + Python programming + application practice to lead readers into the field of Python machine learning. Theoretically. it highlights the readability of machine learning theory explanations an.
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paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2023-11 Publisher: Tsinghua University Press This book is a basic textbook on multivariate data analysis. It covers variance analysis. population distribution and independence testing. singular value decomposition of matrices. multiple linear regression analysis. and principal component analysis. . factor analysis. cluster analysis. multidimensional scaling analysis. discriminant analysis. logistic regression analysis. canonical correlation analysis and o.
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paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2022-09-01 Publisher: China Water Conservancy and Hydropower Press Oracle Database 21c Principles and Actual Combat 252 Cases Data Engineer Series Books Database Engineer Growth Manual Database Introduction. Advanced. Management. Actual Oracle Backup and Recovery Oracle Users Oracle Performance Diagnosis and Optimization The underlying support of big data technology The book Big Data Principles and Practical Combat covers a complete big data ecosystem sys.
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Condition: new. Questo è un articolo print on demand.
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Paperback. Condition: Brand New. 2nd edition. 452 pages. 9.00x7.50x1.25 inches. In Stock. This item is printed on demand.
