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Principles and Practice of Big Data - Preparing, Sharing, and Analyzing Complex Information (Paperback, 2nd edition)
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Principles and Practice of Big Data - Preparing, Sharing, and Analyzing Complex Information (Paperback, 2nd edition)
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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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