Book Details
Format
Paperback / Softback
ISBN-10
3662625202
ISBN-13
9783662625200
Edition
1st ed. 2021
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint
Springer Gabler
Country of Manufacture
DE
Country of Publication
GB
Publication Date
Feb 12th, 2021
Print length
273 Pages
Weight
490 grams
Dimensions
16.80 x 23.90 x 3.10 cms
Product Classification:
Probability & statisticsDatabases
Ksh 6,300.00
Werezi Extended Catalogue
0 in stock
Delivery Location
Delivery fee: Select location
Secure
Quality
Fast
In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made.
In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made. Necessary mathematical tools are examined and applied to current problems of data analysis, such as brand loyalty, portfolio selection, credit investigation, quality control, product clustering, asset pricing etc. - mainly in an economic context. In addition, we discuss interdisciplinary applications to biology, linguistics, sociology, electrical engineering, computer science and artificial intelligence. For the models, we make use of a wide range of mathematics - from basic disciplines of numerical linear algebra, statistics and optimization to more specialized game, graph and even complexity theories. By doing so, we cover all relevant techniques commonly used in Big Data Analytics.
Each chapter starts with a concrete practical problem whose primary aim is to motivate the study of a particular Big Data Analytics technique. Next, mathematical results follow - including important definitions, auxiliary statements and conclusions arising. Case-studies help to deepen the acquired knowledge by applying it in an interdisciplinary context. Exercises serve to improve understanding of the underlying theory. Complete solutions for exercises can be consulted by the interested reader at the end of the textbook; for some which have to be solved numerically, we provide descriptions of algorithms in Python code as supplementary material.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.
Get Mathematical Foundations of Big Data Analytics by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG and it has pages.
