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Drawing on the authors’ two decades of experience in applied modeling and data mining, this self-contained book presents the fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling,
This new edition of Cult of Analytics has been thoroughly updated, now including the latest developments in Google analytics and how get the best from it... Læs mere
This new second edition demystifies the concepts of spatial data accuracy and provides mathematical clarity to issues of... Læs mere
This book is a collection of invited contributions from leading researchers in machine learning. Comprised of 21 chapters, this... Læs mere
Exploring the computational background of ontologies, this self-contained text helps readers understand ontological algorithms and their applications. It describes a host... Læs mere
Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to... Læs mere
There are many webinars and training courses on Data Analytics for Internal Auditors, but no handbook written from the practitioner’s viewpoint covering not only the... Læs mere
Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very... Læs mere
This new edition includes some key topics relating to the latest version of MS Office, including use of the ribbon, current Excel file types, Dashboard, and basic... Læs mere
This book aims to increase the visibility of data science in real-world, which differs from what you learn from a typical textbook. Many aspects of day-to-day data science work are almost absent from conventional statistics, machine learning, and data science curriculum.