Former Wall Street Journal technology reporter Yukari Iwatani Kane delves deep inside Apple in the two years since Steve Jobss death, revealing the tensions and challenges CEO Tim Cook and his team face as they try to sustain Jobss vision and keep the company moving forward.
This volume highlights the ways in which recent developments in corpus linguistics and natural language processing can engage with topics across language studies, humanities and social science disciplines.
With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples.
This book is a collection of empirical and theoretical research papers regarding "Current Issues in Accounting" written by researchers from several different universities.
Leading technologists, historians, and journalists reveal the stories behind the computer coding that touches all aspects of life-for better or worseFew of us give much thought to computer code or how it comes to be.
A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data.
*THE SUNDAY TIMES NUMBER ONE BESTSELLER**OVER A MILLION COPIES SOLD*Discover the shocking gender bias that affects our everyday lives in this groundbreaking gift of a book.
Leverage the power of Talent Intelligence (TI) to make evidence-informed decisions that drive business performance by using data about people, skills, jobs, business functions and geographies.
Correlation matrices (along with their unstandardized counterparts, covariance matrices) underlie the majority the statistical methods that researchers use today.
Simulated test collections may find application in situations where real datasets cannot easily be accessed due to confidentiality concerns or practical inconvenience.
Practical Data Science for Information Professionals provides an accessible introduction to a potentially complex field, providing readers with an overview of data science and a framework for its application.
A comprehensive guide to data analysis techniques for the physical sciences including probability, statistics, data reconstruction, data correction and Monte Carlo methods.
