Includes bibliographical references (pages 173-180) and index.
Contents:
Part 1. Towards an understanding of big data: are you ready? -- From data to big data: you must walk before you can run -- Big data: a revolution that changes the game -- Part 2. Big data analytics: a compilation of advanced analytics techniques that covers a wide range of data -- Building an understanding of big data analytics -- Why data analytics and when can we use it? -- Data analytics process: there's great work behind the scenes -- Part 3. Data analytics and machine learning: the relevance of algorithms -- Machine learning: a method of data analysis that automates analytical model building -- Supervised versus unsupervised algorithms: a guided tour -- Applications and examples.
Summary:
Big data analytics is one of the fastest growing fields in today's business context. It concerns not only data that is continuously getting "bigger", but also the ways in which that data is processed and analyzed and how it is turned into knowledge. This book covers the basic concepts of big data analytics in easy-to-understand terms, working through a series of practical applications which illustrate the use and importance of working with data. It includes an introduction to the crucial domain of machine learning algorithms based on their principles, concepts and applications. As companies are increasingly embracing the opportunities offered by big data, it is becoming ever more important to understand what exactly big data analytics and algorithms can do. This book will help the reader to explore this pertinent new field and discover what can be revealed by each byte of data.
Series:
Information systems, web and pervasive computing series
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.