Big Data, Data Mining, and Machine Learning / SAS Institute Inc (PDF)

With big data analytics comes big insights into
profitability

Big data is big business. But having the data and the
computational power to process it isn't nearly enough to produce
meaningful results. Big Data, Data Mining, and Machine Learning:
Value Creation for Business Leaders and Practitioners is a
complete resource for technology and marketing executives looking
to cut through the hype and produce real results that hit the
bottom line. Providing an engaging, thorough overview of the
current state of big data analytics and the growing trend toward
high performance computing architectures, the book is a
detail-driven look into how big data analytics can be leveraged to
foster positive change and drive efficiency.

With continued exponential growth in data and ever more
competitive markets, businesses must adapt quickly to gain every
competitive advantage available. Big data analytics can serve as
the linchpin for initiatives that drive business, but only if the
underlying technology and analysis is fully understood and
appreciated by engaged stakeholders. This book provides a view into
the topic that executives, managers, and practitioners require, and
includes:

* A complete overview of big data and its notable
characteristics

* Details on high performance computing architectures for
analytics, massively parallel processing (MPP), and in-memory
databases

* Comprehensive coverage of data mining, text analytics, and
machine learning algorithms

* A discussion of explanatory and predictive modeling, and how
they can be applied to decision-making processes

Big Data, Data Mining, and Machine Learning provides
technology and marketing executives with the complete resource that
has been notably absent from the veritable libraries of published
books on the topic. Take control of your organization's big data
analytics to produce real results with a resource that is
comprehensive in scope and light on hyperbole.