The book provides a unique contribution to the literature in this field in that the studies of decision theory and …
ISGC 2010, The International Symposium on Grid Computing was held at Academia Sinica, Taipei, Taiwan, March, 2010. The 2010 symposium …
Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood …
The Most Progressive and Complete Guide to DDO-Based Ciphers Developers have long recognized that ciphers based on Permutation Networks (PNs) …
Python is one of the top 3 tools that Data Scientists use.One of the tools in their arsenal is the …
The rapidly progressing digital revolution is now touching the foundations of the governance of societal structures. Humans are on the …
Python is a ground breaking language for its simplicity and succinctness, allowing the user to achieve a great deal with …
Making Sense of Data educates readers on the steps and issues that need to be considered in order to successfully …
The Sabermetric Revolution examines the increasingly widespread use of sabermetrics to evaluate baseball player performance. Along the way, the book …
This book is worth every penny of it's price if, for nothing else, but the excellent development of fact and …
Solutions Manual of Data Mining: The Textbook This textbook explores the different aspects of data mining from the fundamentals to …
Transform data into action for competitive advantage"The knowledge assets of an organization are becoming increasingly important for competitive advantage, and …
How to make simple sense of complex statistics—from the author of Numbers Rule Your WorldWe live in a world of …
Pearson Education LTD., 2015. — 238 p. — ISBN: 0133481506, 9780133481501Now that you've collected the data and crunched the numbers, …
With a focus on the needs of educators and students, «Making Sense of Data» presents the steps and issues that …
This book has two main goals: to define data science through the work of data scientists and their results, namely …
Praise for Business Intelligence Success Factors: Tools for Aligning your business in the Global Economy"Olivia Parr Rud does a remarkable …
Traditionally, data has been a scarce commodity which, given its value, has been either jealously guarded or expensively traded. In …
Martin Lindstrom, a modern-day Sherlock Holmes, harnesses the power of “small data” in his quest to discover the next big …
The book deals with the management of information systems security and privacy, based on a model that covers technological, organizational …
A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and …
This book explores the principles underpinning data science. It considers the how and why of modern data science. The book …
Interesting, timely, and above all, useful, Savvy Guides give IT managers the information they need to effectively manage their technologists, …
Tell Insightful, Actionable Business Stories with Tableau, the World’s Leading Data Visualization Tool! Visual Data Storytelling with Tableau brings together …
The book walks you through three different real-world mobile applications from head to toe to provide a practical, hands-on experience …
Most startups fail. But many of those failures are preventable. The Lean Startup is a new approach being adopted across …
"Introduction to Data Mining is a complete introduction to data mining for students, researchers, and professionals. It provides a sound …
Leanpub, 2015. — 162 p.This book describes the process of analyzing data in simple and general terms. The authors have …
Your ticket to breaking into the field of data science! Jobs in data science are projected to outpace the number …
Immerses students in the course immediately, involving them in practical, statistics-supported business decision making from the outset. Using real data …
How anyone can become a data ninjaFrom the stock market to genomics laboratories, census figures to marketing email blasts, we …
Describes the leading techniques for analyzing noise.Discusses methods that are applicable to periodic signals, aperiodic signals, or random processes over …
