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An accessible textbook that explains, discusses, and applies both the frequentist and Bayesian theoretical frameworks to fit the different types of statistical models that allow an analysis of the types of data most commonly gathered by life scientists.
This book covers all the aspects of Blockchain and its application in IOT and focuses on Blockchain, its features, and the core technologies that are used... Læs mere
The prolificacy and accessibility of technology and digital communications platforms is not only giving rise to a new form of communication between people and communities, but changing the way individuals, communities and society think, act, and behave.
This book focuses on different algorithms and models related to AI, big data, and IoT used for various... Læs mere
This book describe the applications of bioinformatics, data management and computational techniques in clinical studies and drug discovery... Læs mere
For graduate students, practitioners, and sophisticated users, this book offers a tutorial approach to the foundations of random matrix theory for machine... Læs mere
With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis to gain a deeper understanding of their data questions.
This CIGRE green book begins by addressing the specification and provision of communication services in the context of... Læs mere
This textbook provides faculty the major concepts and cases to include in a class on the ethics of data analytics. The book is distinct as it focuses on... Læs mere
Snowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users within an... Læs mere
With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.