Mathematical Foundations of Data Science

Language: English

Published by Springer, Springer Mär 2024, 2024

3031190769 / 9783031190766

Series: Book 75 of 83 - Texts in Computer Science

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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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This item is printed on demand - Print on Demand Titel. Neuware -This textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the conditions for the success of methods used Theory is presented only to the degree necessary to apply it properly, striving for the balance between excessive complexity and oversimplification. Its primary focus is on principles crucial for application success.Topics and features:Focuses on approaches supported by mathematical arguments, rather than sole computing experiencesInvestigates conditions under which numerical algorithms used in data science operate, and what performance can be expected from themConsiders key data science problems: problem formulation including optimality measure; learning and generalization in relationships to training set size and number of free parameters; and convergence of numerical algorithmsExamines original mathematical disciplines (statistics, numerical mathematics, system theory) as they are specifically relevant to a given problemAddresses the trade-off between model size and volume of data available for its identification and its consequences for model parametrizationInvestigates the mathematical principles involves with natural language processing and computer visionKeeps subject coverage intentionally compact, focusing on key issues of each topic to encourage full comprehension of the entire bookAlthough this core textbook aims directly at students of computer science and/or data science, it will be of real appeal, too, to researchers in the field who want to gain a proper understanding of the mathematical foundations 'beyond' the sole computing experience.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 228 pp. Englisch.…

Seller Inventory # 9783031190766

Title
Mathematical Foundations of Data Science
Author
Tomas Hrycej
Publisher
Springer, Springer Mär 2024
Publication year
2024
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031190769
ISBN 13
9783031190766
Item weight
353 grams
Dimensions
235x155x13 mm
Series
Book 75 of 83: Texts in Computer Science

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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