Mathematics of Big Data: Spreadsheets, Databases, Matrices, and Graphs (MIT Lincoln Laboratory Series)
$79.00
Description
Book Synopsis: The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies.Today, the volume, velocity, and variety of data are increasing rapidly across a range of fields, including Internet search, healthcare, finance, social media, wireless devices, and cybersecurity. Indeed, these data are growing at a rate beyond our capacity to analyze them. The tools—including spreadsheets, databases, matrices, and graphs—developed to address this challenge all reflect the need to store and operate on data as whole sets rather than as individual elements. This book presents the common mathematical foundations of these data sets that apply across many applications and technologies. Associative arrays unify and simplify data, allowing readers to look past the differences among the various tools and leverage their mathematical similarities in order to solve the hardest big data challenges.
The book first introduces the concept of the associative array in practical terms, presents the associative array manipulation system D4M (Dynamic Distributed Dimensional Data Model), and describes the application of associative arrays to graph analysis and machine learning. It provides a mathematically rigorous definition of associative arrays and describes the properties of associative arrays that arise from this definition. Finally, the book shows how concepts of linearity can be extended to encompass associative arrays. Mathematics of Big Data can be used as a textbook or reference by engineers, scientists, mathematicians, computer scientists, and software engineers who analyze big data.
Details
Do you want to unlock the power of big data analysis? Look no further than "Mathematics of Big Data: Spreadsheets, Databases, Matrices, and Graphs" by MIT Lincoln Laboratory Series. With the rapid increase in data volume, velocity, and variety, analyzing this vast amount of information has become a challenge. This groundbreaking book presents the common mathematical foundations that apply to big data analysis across various applications and technologies. By understanding the concept of associative arrays and utilizing tools like spreadsheets, databases, matrices, and graphs, you can solve the hardest big data challenges with ease.
As the volume of data continues to grow beyond our capacity to analyze it, professionals in fields such as Internet search, healthcare, finance, social media, wireless devices, and cybersecurity must adapt. The mathematics behind big data analysis becomes the key to unlocking its potential. By leveraging the mathematical similarities shared by various tools and looking past their differences, you can gain valuable insights and make informed decisions.
Let "Mathematics of Big Data" be your guide in this complex landscape. This book not only introduces the concept of associative arrays and the practical application of the associative array manipulation system D4M but also provides a rigorous definition of associative arrays and explores their properties. Moreover, it delves into using associative arrays for graph analysis and machine learning, showcasing their versatility.
Whether you're an engineer, scientist, mathematician, computer scientist, or software engineer, this comprehensive book can serve as your textbook or reference for analyzing big data. Equip yourself with the knowledge and tools necessary to tackle the challenges of big data analysis today. Start your journey with "Mathematics of Big Data" and unlock the potential of a data-driven world.
Get your copy of "Mathematics of Big Data" now and stay at the forefront of data analysis!
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