Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners (Wiley and SAS Business Series)

Dean, Jared

ISBN 10: 1502462915 / ISBN 13: 9781502462916

Edité par Createspace, 2014

May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.63. N° de réf. du vendeur G1502462915I4N00

Synopsis :

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.

Quatrième de couverture:

Praise for Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners

We needed this book, an efficient tour guide through the methods and tools of predictive modeling by an expert in the field. There are lots of books that are collections of journalistic success stories in business analytics. There are lots of books that go into the methods of predictive analytics in math–speak. Here we have the high–level tour, but with enough description to understand the guts of each method.
John Sall, Executive Vice President, SAS Institute

Jared Dean provides an interesting and approachable perspective on one of today s most discussed topics: using big data and analytics to create value for organizations. The combination of simple examples and deep insights make this a vital read for managers who need to have a complete picture of the analytical process and the great potential it unlocks.
Chris Bingham, Philip Hettleman Scholar and Associate Professor of Strategy & Entrepreneurship, The University of North Carolina at Chapel Hill

This book provides excellent coverage of the technical skills needed by analytical consultants in today s market. The focus on modern methods makes this book relevant for business leaders who want to reap the rewards that analytics can bring to an organization. In my experience, one of the greatest missing links in implementing an analytics–based strategy is a shortage of executives who truly understand analytics both the capabilities analytics can provide as well as the limitations. This book can help you close that knowledge gap. Jared does an excellent job of making the concepts approachable while giving complete explanations with ample examples.
Mark Pitts, MS, MAcc, Vice President, Enterprise Informatics & Data Analytics, Highmark Health

A wonderful treatise that cuts through the noise about big data and lays out clearly what it is, how it can be integrated with data analytic models, and how companies can leverage it to add value to their business. I am confident this book will be a must read for anyone trying to make sense of how to convert big data into actionable insights for their organization.
Dr. Goutam Chakraborty, Professor (Marketing) and Director of Graduate Certificate in Business Data Mining, Oklahoma State University

Détails bibliographiques

Titre : Big Data, Data Mining, and Machine Learning:...
Éditeur : Createspace
Date d'édition : 2014
Reliure : Paperback
Etat : Very Good
Etat de la jaquette : No Jacket