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In recognition of the evolving electronic health information environment and of interdisciplinary health care teams, the book is designed to be of... Læs mere
This book provides a methodological pathway for scholars who want to build their own big data framework for collecting social media data, and using content analysis,... Læs mere
This book provides a methodological pathway for scholars who want to build their own big data framework for collecting social media data, and using content analysis,... Læs mere
Dealing with artificial intelligence, this book delineates AI’s role in model... Læs mere
Confidently apply marketing analytics techniques to improve consumer insights and marketing performance, so you can compete more effectively in the marketplace.
This book provides a comprehensive guide to machine learning and statistics for students and researchers of environmental data science. A broad range of... Læs mere
Overcome the hurdles to building a data-driven organization with this roadmap to closing the skills gap, investing in the right technology and creating a successful culture.
The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science.
Analyses the economics of development from a global perspective with a wealth of illustrations. Throughout the book, there is a strong emphasis on data... Læs mere
Analyses the economics of development from a global perspective with a wealth of illustrations. Throughout the book, there is a strong emphasis on data... Læs mere
From measles to malaria, from clinical trials to COVID and from life tables to the law, the second edition of Dicing with Death explains how the vital decisions we have... Læs mere