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Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the... Læs mere
The military produces, senses, and consumes a tremendous amount of data. Developing ways to effectively leverage these troves of data to enhance operations is a... Læs mere
This book provides a first-hand account of business analytics and its implementation, an account of the brief theoretical framework underpinning each component of business analytics, and gives a complete insightful understanding of developing and implementing analytical solution.
Translate data into value for your business with this strategic guide to identifying, communicating and developing data solutions and opportunities.
Learn how organizational data can be governed according to ethical principles with this practical guide.
Presenting the contributions of leading experts in their respective fields, this book bridges the gap between the vastness of Big Data and the appropriate... Læs mere
This book addresses the need of humanities scholars for whom technology and data now play a large role in their research... Læs mere
Invaluable introduction to statistics using the Minitab program. It assumes no prior knowledge of statistics or computing and explains when to apply and how to apply and calculate a range of statistical proceedures used by social scientists.
Explains statistical tests for Minitab using the same formulae-free, non-technical approach as the very successful SPSS version. Social science students will welcome this integrated, non-mathematical introduction.
This book appeals to researchers who work with nested data structures or repeated measures data, including biomed & health researchers, clinical/intervention researchers and developmental & educational psychologists. Also some potential as a grad lvl tex
With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.