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708 books were found.
Do you want to gain a deeper understanding of how big tech analyzes and exploits our text data, or investigate how... Read More >>
The breadth of problems that can be solved with data science is astonishing, and this book provides the required... Read More >>
Many applied researchers equate spatial statistics with prediction or mapping, but this book naturally extends linear... Read More >>
The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis... Read More >>
This book establishes brand-new frame theory and technical implementation in data science, with a special focus... Read More >>
Revised edition of the author's Statistics for economics, accounting and business studies, 2017. Read More >>
Offers a comprehensive exploration of the tools necessary to distil valuable insights from datasets. The book serves... Read More >>
Presents an in-depth exploration of cutting-edge data processing technologies that drive the development of next-generation... Read More >>
The confluence of Artificial Intelligence of Things (AIoT) and Semantic Web technologies is nothing short of revolutionary.... Read More >>
This book is a practical, nontechnical guide to incorporating sports data into decision making, giving leaders the... Read More >>
The mathematical theory of tangles, the centrepiece of the celebrated Robertson-Seymour theory of graph minors,... Read More >>
Master basic matrix methods by seeing how the mathematics is used in practice in a range of data-driven applications.... Read More >>
This book provides a comprehensive overview on the fundamentals of environmental sampling and analysis for students... Read More >>
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Crime research has grown substantially over the past decade, with a rise in evidence-informed approaches to criminal... Read More >>
Navigates the multifaceted advantages of synthetic data, illuminating its role in protecting the privacy and confidentiality... Read More >>
The current data engineering demands more than theoretical understanding; it necessitates a practical, nuanced approach.... Read More >>
This text provides a state-of-the-art treatment of distributional regression, accompanied by real-world examples... Read More >>
Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation... Read More >>
