Mathematical Foundations of Big Data Analytics by Vladimir Shikhman

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Mathematical Foundations of Big Data Analytics by Vladimir Shikhman

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Zusammenfassung

In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made.

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Mathematical Foundations of Big Data Analytics by Vladimir Shikhman

Preface.- 1 Ranking.- 2 Online Learning.- 3 Recommendation Systems.- 4 Classification.- 5 Clustering.- 6 Linear Regression.- 7 Sparse Recovery.- 8 Neural Networks.- 9 Decision Trees.- 10 Solutions.

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“This book is apt for courses that introduce the fundamentals of data science/big data analytics at the graduate level… The book can be used in courses devoted to the foundational mathematics of data science and analytics. It should be noted that sound mathematical knowledge … is required for reading. The case studies and exercises make it a quality teaching material.” (Bálint Molnár, Computing Reviews, August 19, 2022)

“Mathematical foundations of big data analytics is a very welcome and timely addition to the growing area of big data analytics. … Mathematical foundations are very carefully covered in each chapter, which justifies the title. There is a good listing of references for further study, as well as an index for easy reference. This book could be the basis for a one-semester graduate level course with an emphasis on mathematical foundations, supplemented by good programming projects.” (S. Lakshmivarahan, Computing Reviews, July 5, 2021)

Vladimir Shikhman is a professor of Economathematics at Chemnitz University of Technology.David Müller is one of his doctoral students.
SKU Nicht verfügbar
ISBN 13 9783662625200
ISBN 10 3662625202
Titel Mathematical Foundations of Big Data Analytics
Autor Vladimir Shikhman
Buchzustand Nicht verfügbar
Bindungsart Paperback
Verlag Springer Gabler
Erscheinungsjahr 2021-02-12
Seitenanzahl 273
Hinweis auf dem Einband Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.
Hinweis Nicht verfügbar