Mathematical Foundations of Big Data Analytics

Discover the essential mathematical principles behind Big Data Analytics in "Mathematical Foundations of Big Data Analytics" by Vladimir Shikhman. Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG in 2021, this comprehensive textbook spans 273 pages and serves as a vital resource for students and professionals alike. The first edition delves into fundamental mathematical models, providing clear explanations and practical applications to real-world issues in the field. Whether you're looking to enhance your understanding of data analytics or seeking to apply these concepts in practice, this book is an invaluable addition to your library. Equip yourself with the knowledge to navigate the complexities of Big Data Analytics and unlock new opportunities in this rapidly evolving domain.