Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction …
This book introduces the reader to the niceties of samples (random or stratified random), averages (mean, median or modal), errors …
Follow the author on Twitter! Alana James has a new twitter feed titled AR4Everything, which covers action research and reports …
"A very rich book sprinkled with real-life examples as well as battle-tested advice.”—Pierre Haren, VP ILOG, IBM"James does a thorough …
James Gleick, the author of the best sellers Chaos and Genius, now brings us a work just as astonishing and …
"There is terror in numbers," writes Darrell Huff in How to Lie with Statistics. And nowhere does this terror translate …
Many senior executives talk about information as one of their most important assets, but few behave as if it is. …
This book will teach you to use Python and the Python Data Analysis Library (pandas) to solve real-world financial problems. …
R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in …
An Introduction to Audio Content AnalysisEnables readers to understand the algorithmic analysis of musical audio signals with AI-driven approachesAn Introduction …
Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist …
Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. …
Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copiesDelivers real-world …
The challenges to humanity posed by the digital future, the first detailed examination of the unprecedented form of power called …
This established textbook introduces the essentials of classification as used for information processing. The third edition takes account of developments …
Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and …
Influence action through data!This is not a book. It is a one-of-a-kind immersive learning experience through which you can become--or …
The definitive reference book with real-world solutions you won't find anywhere elseTheBig Book of Dashboardspresents a comprehensive reference for those …
Ubiquitous, mobile supercomputing. Artificially-intelligent robots. Self-driving cars. Neuro-technological brain enhancements. Genetic editing. The evidence of dramatic change is all around …
With the constant evolution of change in healthcare from both a technology and governmental perspective, it is imperative to take …
With the new federal law, No Child Left Behind, there is ever increasing pressure on schools to be accountable for …
Provides the tools for implementing Lean Six Sigma - what they are, how they work, and which to use. This …
Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition presents an applied approach to data mining …
What do you need to become a data-driven organization? Far more than having big data or a crack team of …
Data Democracy: At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering provides a manifesto to data democracy. After …
Best practices and invaluable advice from world-renowned data warehouse experts In this book, leading data warehouse experts from the Kimball …
Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone …
Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially the last 25 …
With the tremendous growth and availability of the data, this book covers understanding the data, while telling a story with …
Transform data into action for competitive advantage"The knowledge assets of an organization are becoming increasingly important for competitive advantage, and …
