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This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing... Read More >>
This book addresses the need of humanities scholars for whom technology and data now play a large role in their... Read More >>
Level up with Tableau to build eye-catching, easy-to-interpret data visualizations. In this follow-up guide to Practical... Read More >>
Analyze vast amounts of data in record time using Apache Spark with Databricks in the Cloud. Learn the fundamentals,... Read More >>
If you want to learn more about Data Analysis or how to master it with the Python Programming Language, then keep... Read More >>
In Digital Journalism, Drones, and Automation, Cate Dowd explores modern trends in data journalism and takes readers... Read More >>
This book provides a blend of both the theoretical and practical aspects of Natural Language Processing (NLP). It... Read More >>
This book will focus on Grafana 7.0's features to build interactive dashboards to visualize and monitor data. You... Read More >>
The book will take you on a journey through the evolution of data analysis explaining each step in the process in... Read More >>
The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics... Read More >>
This compendium provides a comprehensive collection of the emergent applications of big data, machine learning,... Read More >>
This book will enable you to learn and gain experience in migrating your organization’s business operations from... Read More >>
Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from... Read More >>
The book is intended for practitioners in data science and data analytics in both academic and business environments.... Read More >>