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Principles and Practice of Big Data

- Preparing, Sharing, and Analyzing Complex Information
Af: Jules J. Berman Engelsk Paperback

Principles and Practice of Big Data

- Preparing, Sharing, and Analyzing Complex Information
Af: Jules J. Berman Engelsk Paperback
Tjek vores konkurrenters priser
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, 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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Produktdetaljer
Sprog: Engelsk
Sider: 480
ISBN-13: 9780128156094
Indbinding: Paperback
Udgave: 2
ISBN-10: 0128156090
Kategori: Forretningssystemer (ERP)
Udg. Dato: 25 jul 2018
Længde: 26mm
Bredde: 233mm
Højde: 190mm
Forlag: Elsevier Science Publishing Co Inc
Oplagsdato: 25 jul 2018
Forfatter(e): Jules J. Berman
Forfatter(e) Jules J. Berman

Kategori Forretningssystemer (ERP)

ISBN-13 9780128156094

Sprog Engelsk

Indbinding Paperback

Sider 480

Udgave 2

Længde 26mm

Bredde 233mm

Højde 190mm

Udg. Dato 25 jul 2018

Oplagsdato 25 jul 2018

Forlag Elsevier Science Publishing Co Inc

Kategori sammenhænge